Translation Results

Sentence 1

Raw input line

they finally acknowledged it as true .

Actual input words

theyfinallyacknowledgeditastrue.

Output words

ついに本当本当それ認め

Restored output line

彼 ら は ついに 本当 に 本当 に それ を 認め た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0497932-0.0497932
-0.00715637-0.0569496
-0.0223589-0.0793085
ついに-0.147569-0.226877
本当-1.62991-1.85679
-0.713424-2.57021
本当-1.50257-4.07278
-0.940375-5.01315
それ-0.610207-5.62336
-0.0114803-5.63484
認め-1.00888-6.64372
-0.0122824-6.65601
-0.00363255-6.65964
</s>-0.000390053-6.66003

Attention

<s>theyfinallyacknowledgeditastrue.</s>
0.000.230.630.050.020.020.010.020.02
0.000.040.180.680.010.020.010.020.05
0.000.001.000.000.000.000.000.000.00
ついに0.000.000.990.000.000.000.000.000.00
本当0.000.000.000.070.050.630.220.000.01
0.000.000.010.050.140.570.230.000.00
本当0.000.000.020.040.370.080.500.000.00
0.000.000.000.060.300.540.100.000.00
それ0.000.000.040.270.540.010.130.000.00
0.000.000.030.880.050.010.020.000.00
認め0.000.000.130.780.010.000.060.000.00
0.000.000.020.940.000.010.000.010.02
0.000.010.200.690.020.000.010.030.04
</s>0.000.200.140.580.050.000.010.000.01

Inference graph

Sentence 2

Raw input line

he didn 't care for swimming .

Actual input words

hedidn'tcareforswimming.

Output words

泳ぎかっ

Restored output line

彼 は 泳ぎ に い わ な かっ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.00370121-0.00370121
-0.0109539-0.0146551
泳ぎ-1.41929-1.43395
-0.0727997-1.50675
-1.64228-3.14902
-0.317009-3.46603
-0.00112724-3.46716
かっ-0.0161762-3.48333
-9.72748e-05-3.48343
-0.000581741-3.48401
</s>-7.24792e-05-3.48409

Attention

<s>hedidn'tcareforswimming.</s>
0.000.070.050.010.010.060.770.010.01
0.000.100.420.020.030.040.380.000.01
泳ぎ0.000.000.000.000.000.001.000.000.00
0.000.000.000.000.040.130.830.000.00
0.000.000.000.000.810.120.060.000.00
0.000.000.010.080.830.090.000.000.00
0.000.000.010.770.200.020.000.000.00
かっ0.000.000.040.930.020.000.000.000.00
0.020.130.410.160.080.020.000.110.07
0.000.130.580.220.020.020.000.020.02
</s>0.020.430.070.130.040.050.020.150.09

Inference graph

Sentence 3

Raw input line

he is no less kind than his sister .

Actual input words

heisnolesskindthanhissister.

Output words

ほど親切

Restored output line

彼 は 妹 ほど 親切 で は な い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0208759-0.0208759
-0.0141754-0.0350513
-1.5406-1.57565
ほど-0.685244-2.2609
親切-0.816566-3.07746
-1.11577-4.19323
-0.0411997-4.23443
-0.0417852-4.27622
-0.00355339-4.27977
-0.000637054-4.28041
</s>-0.000125885-4.28053

Attention

<s>heisnolesskindthanhissister.</s>
0.000.050.110.030.040.040.010.110.600.000.01
0.000.030.420.070.070.090.060.170.080.000.00
0.000.000.000.000.000.000.000.010.990.000.00
ほど0.000.000.000.000.000.020.230.600.140.000.00
親切0.000.000.000.000.030.910.060.000.000.000.00
0.000.000.000.000.070.750.170.000.000.000.00
0.000.000.000.160.280.550.010.000.000.000.00
0.000.000.010.370.390.170.050.000.000.000.00
0.000.000.020.280.460.140.090.000.000.000.00
0.010.040.130.060.150.250.040.020.030.180.08
</s>0.000.090.180.210.200.200.070.010.000.010.01

Inference graph

Sentence 4

Raw input line

you must be back before ten .

Actual input words

youmustbebackbeforeten.

Output words

10までなさ

Restored output line

10 時 まで に 戻 り なさ い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
10-0.0705729-0.0705729
-0.0643444-0.134917
まで-0.700583-0.8355
-0.0312805-0.86678
-1.08264-1.94942
-1.15965-3.10908
なさ-0.981413-4.09049
-0.0673885-4.15788
-0.0150213-4.1729
</s>-0.000135422-4.17303

Attention

<s>youmustbebackbeforeten.</s>
100.000.000.000.000.000.001.000.000.00
0.000.000.000.010.020.490.420.020.04
まで0.000.000.000.000.010.990.000.000.00
0.000.000.000.000.810.160.020.000.00
0.000.000.000.020.950.020.000.000.00
0.000.000.060.490.430.010.000.000.00
なさ0.000.010.720.190.060.020.000.000.00
0.000.020.840.070.060.000.000.000.01
0.030.140.250.190.070.050.000.190.08
</s>0.000.440.210.040.080.050.000.090.07

Inference graph

Sentence 5

Raw input line

break a leg .

Actual input words

breakaleg.

Output words

なさ

Restored output line

目 を 出 し なさ い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-2.35636-2.35636
-0.763925-3.12028
-0.51923-3.63951
-0.787601-4.42711
なさ-0.40451-4.83162
-0.00248909-4.83411
-0.00163269-4.83574
</s>-0.000751495-4.8365

Attention

<s>breakaleg.</s>
0.000.040.000.960.000.00
0.000.080.000.910.000.00
0.000.470.030.500.000.00
0.000.800.030.120.010.03
なさ0.010.300.080.110.110.39
0.000.250.160.070.150.37
0.040.240.110.050.280.28
</s>0.030.210.240.140.180.20

Inference graph

Sentence 6

Raw input line

she lives next door to us .

Actual input words

shelivesnextdoortous.

Output words

彼女たち

Restored output line

彼女 は 私 たち の 隣 に 住 ん で い る 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
彼女-9.91821e-05-9.91821e-05
-0.00346184-0.00356102
-0.105594-0.109155
たち-0.292618-0.401772
-0.176829-0.578602
-0.0857067-0.664309
-0.00329399-0.667603
-0.0703773-0.73798
-0.00495338-0.742933
-0.00102997-0.743963
-0.0353327-0.779296
-0.424168-1.20346
-0.00211906-1.20558
</s>-3.05176e-05-1.20561

Attention

<s>shelivesnextdoortous.</s>
彼女0.000.640.140.180.010.010.010.010.01
0.000.070.890.000.010.000.020.000.00
0.000.000.000.030.000.020.940.000.00
たち0.000.020.030.010.080.040.820.000.00
0.000.000.000.910.010.080.000.000.00
0.000.000.000.950.030.020.000.000.00
0.000.000.610.020.260.100.000.000.01
0.000.000.960.000.030.000.000.000.00
0.000.000.990.000.000.000.000.000.00
0.020.020.580.020.010.020.000.170.15
0.030.080.590.020.020.020.040.120.08
0.080.110.380.020.050.030.010.200.11
0.030.120.440.030.040.050.020.150.11
</s>0.010.070.600.070.050.010.010.100.09

Inference graph

Sentence 7

Raw input line

i 'm about to tell you the answer .

Actual input words

i'mabouttotellyoutheanswer.

Output words

あなた返事

Restored output line

あなた の 返事 を お 話 し ま す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
あなた-1.69458-1.69458
-0.213863-1.90844
返事-1.4926-3.40104
-0.161695-3.56274
-0.975796-4.53853
-1.59867-6.1372
-0.0805254-6.21773
-0.187798-6.40552
-0.334076-6.7396
-0.0052042-6.7448
</s>-0.000228882-6.74503

Attention

<s>i'mabouttotellyoutheanswer.</s>
あなた0.000.000.000.000.000.000.030.000.960.000.00
0.000.000.000.010.000.040.160.020.750.010.01
返事0.000.000.000.000.000.000.030.010.960.000.00
0.000.000.000.010.000.860.030.000.040.020.03
0.000.000.000.000.010.820.140.010.020.000.00
0.000.000.020.060.510.160.010.010.010.110.10
0.000.000.030.050.060.020.000.000.000.440.39
0.000.000.040.080.770.080.020.000.000.010.01
0.000.000.090.210.670.020.000.000.000.000.00
0.040.050.180.140.240.040.100.020.000.090.09
</s>0.010.070.280.360.070.010.060.010.020.060.05

Inference graph

Sentence 8

Raw input line

i 'm a person who lives for the moment .

Actual input words

i'mapersonwholivesforthemoment.

Output words

そこ

Restored output line

私 は 今 そこ に 住 ん で い る 人 で す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.06086-1.06086
-0.32128-1.38214
-0.940137-2.32228
そこ-2.37414-4.69641
-0.0858459-4.78226
-0.0532207-4.83548
-0.132071-4.96755
-0.0428324-5.01039
-0.0145054-5.02489
-0.0270672-5.05196
-0.135733-5.18769
-0.319931-5.50762
-0.040658-5.54828
-0.00792313-5.5562
</s>-0.000243187-5.55645

Attention

<s>i'mapersonwholivesforthemoment.</s>
0.000.000.000.000.000.000.000.000.001.000.000.00
0.000.000.000.000.000.000.080.200.030.680.010.00
0.000.000.000.000.000.000.000.000.010.980.000.00
そこ0.000.000.000.000.000.000.150.250.040.560.000.00
0.000.000.000.000.010.000.840.100.020.030.000.00
0.000.000.000.000.000.001.000.000.000.000.000.00
0.000.000.000.000.000.030.950.020.000.000.000.00
0.000.000.000.000.110.700.180.000.000.000.000.00
0.000.000.000.010.560.020.400.000.000.000.000.00
0.000.000.040.020.500.080.310.020.000.000.000.01
0.000.000.020.010.870.050.050.000.000.000.000.00
0.000.000.050.080.840.010.020.000.000.000.000.00
0.000.000.030.040.920.010.010.000.000.000.000.00
0.010.040.340.280.230.040.020.010.000.000.010.01
</s>0.000.020.170.280.510.010.000.000.000.000.010.01

Inference graph

Sentence 9

Raw input line

we have this game on ice .

Actual input words

wehavethisgameonice.

Output words

我々試合<unk>

Restored output line

我々 の 試合 は <unk> で す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
我々-0.952872-0.952872
-0.290014-1.24289
試合-0.998096-2.24098
-0.027647-2.26863
<unk>-1.77815-4.04678
-0.86452-4.9113
-0.521401-5.4327
-0.0123596-5.44506
</s>-0.000143051-5.4452

Attention

<s>wehavethisgameonice.</s>
我々0.000.010.000.010.930.000.040.000.00
0.000.000.000.000.980.000.010.000.00
試合0.000.000.000.020.940.000.030.000.00
0.000.010.090.180.330.070.300.000.02
<unk>0.000.000.000.010.020.020.950.000.00
0.000.000.000.020.060.000.910.000.00
0.000.000.020.120.010.070.640.010.12
0.000.020.440.120.010.060.140.080.13
</s>0.000.100.220.280.040.050.180.030.07

Inference graph

Sentence 10

Raw input line

will you give me your reasons for doing this ?

Actual input words

willyougivemeyourreasonsfordoingthis?

Output words

これ<unk>くれ

Restored output line

これ を <unk> し て くれ ま せ ん か 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
これ-0.219671-0.219671
-0.0773506-0.297022
<unk>-2.74241-3.03943
-0.410563-3.44999
-0.281307-3.7313
くれ-0.437302-4.1686
-0.791688-4.96029
-0.00584984-4.96614
-0.0014267-4.96756
-0.00477028-4.97233
-0.000581741-4.97292
</s>-0.000250816-4.97317

Attention

<s>willyougivemeyourreasonsfordoingthis?</s>
これ0.000.000.010.030.150.040.270.010.160.210.110.01
0.000.000.000.000.000.000.170.020.610.030.140.02
<unk>0.000.000.000.000.000.000.040.000.960.000.000.00
0.000.000.000.000.000.000.010.070.890.000.000.02
0.000.000.010.120.380.030.180.070.160.010.010.02
くれ0.000.010.070.210.500.110.050.020.010.000.010.00
0.000.020.040.140.150.060.060.050.030.010.400.04
0.010.030.180.140.080.240.120.060.010.010.080.04
0.010.040.190.110.040.060.010.010.000.010.520.01
0.000.010.030.020.030.050.000.010.000.000.820.02
0.000.030.060.120.170.090.150.070.030.060.050.18
</s>0.010.020.130.100.160.140.090.030.010.040.110.16

Inference graph

Sentence 11

Raw input line

she likes the teacher .

Actual input words

shelikestheteacher.

Output words

彼女先生好き

Restored output line

彼女 は 先生 が 好き で す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
彼女-0.00186157-0.00186157
-0.0169582-0.0188198
先生-0.602636-0.621456
-0.331695-0.953151
好き-0.0899448-1.0431
-0.163438-1.20653
-0.0261412-1.23267
-0.00418282-1.23686
</s>-0.000253677-1.23711

Attention

<s>shelikestheteacher.</s>
彼女0.000.900.010.010.070.000.00
0.000.160.350.040.420.010.02
先生0.000.020.000.070.910.000.00
0.000.000.000.010.990.000.00
好き0.000.000.950.040.000.000.00
0.000.000.990.000.000.000.00
0.010.010.940.010.000.010.02
0.030.040.610.060.020.130.11
</s>0.010.090.780.020.000.050.06

Inference graph

Sentence 12

Raw input line

it 's business .

Actual input words

it'sbusiness.

Output words

<unk>

Restored output line

<unk> で す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
<unk>-2.23627-2.23627
-0.16798-2.40425
-0.104334-2.50858
-0.22964-2.73822
</s>-0.00181007-2.74003

Attention

<s>it'sbusiness.</s>
<unk>0.000.030.030.940.000.00
0.000.000.360.620.000.00
0.020.020.290.610.020.04
0.080.080.400.170.150.13
</s>0.020.070.470.220.100.12

Inference graph

Sentence 13

Raw input line

these shoes will last you two years .

Actual input words

theseshoeswilllastyoutwoyears.

Output words

このすぐあなたしょ

Restored output line

この 靴 は すぐ に あなた の 2 年 で しょ う 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
この-0.0740376-0.0740376
-0.142452-0.21649
-0.162004-0.378493
すぐ-1.60031-1.9788
-0.357091-2.33589
あなた-0.689278-3.02517
-0.674557-3.69973
-0.795349-4.49508
-0.350776-4.84585
-1.7995-6.64535
しょ-0.821773-7.46713
-0.000495911-7.46762
-0.000740051-7.46836
</s>-0.000139236-7.4685

Attention

<s>theseshoeswilllastyoutwoyears.</s>
この0.000.750.250.000.000.000.000.000.000.00
0.000.010.990.000.000.000.000.000.000.00
0.000.010.230.610.010.030.010.090.000.00
すぐ0.000.020.010.010.660.260.020.010.000.00
0.000.000.000.010.000.040.090.860.000.00
あなた0.000.000.000.020.040.530.250.150.000.00
0.000.000.000.070.110.300.100.410.000.00
0.000.000.000.010.090.090.790.020.000.00
0.000.000.000.050.010.020.010.910.000.00
0.000.000.000.910.030.040.000.020.000.00
しょ0.000.000.000.800.030.120.000.050.000.00
0.000.000.000.810.020.080.040.040.000.00
0.000.000.000.420.110.160.120.040.100.06
</s>0.000.000.000.370.110.060.120.280.020.03

Inference graph

Sentence 14

Raw input line

he made his son attend the meeting in his place .

Actual input words

hemadehissonattendthemeetinginhisplace.

Output words

息子その出席

Restored output line

彼 は 息子 に その 会 に 出席 し た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0609121-0.0609121
-0.0146866-0.0755987
息子-0.273928-0.349526
-0.84921-1.19874
その-1.38569-2.58443
-1.13821-3.72264
-0.415195-4.13783
出席-0.197451-4.33528
-0.280066-4.61535
-0.136801-4.75215
-0.00842953-4.76058
</s>-0.000371933-4.76095

Attention

<s>hemadehissonattendthemeetinginhisplace.</s>
0.000.050.060.070.440.000.000.000.000.060.290.010.01
0.000.030.180.610.150.000.000.010.000.010.000.000.00
息子0.000.000.000.010.640.000.000.000.000.020.320.000.00
0.000.000.010.150.090.000.000.100.110.230.260.020.03
その0.000.000.000.000.000.000.000.020.000.000.970.000.00
0.000.000.000.000.000.020.010.760.030.010.160.000.00
0.000.000.000.000.010.050.010.810.090.010.020.000.00
出席0.000.000.010.000.120.310.010.530.000.000.010.000.00
0.000.000.010.200.090.280.040.370.000.000.000.000.00
0.000.000.690.010.000.220.010.060.000.000.000.000.00
0.000.080.190.170.490.020.010.020.000.000.000.010.01
</s>0.000.060.530.040.030.010.020.010.050.010.010.090.14

Inference graph

Sentence 15

Raw input line

give your argument against going .

Actual input words

giveyourargumentagainstgoing.

Output words

さんようなさ

Restored output line

皆 さん は 行 く よう に し なさ い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-2.95823-2.95823
さん-1.44472-4.40294
-0.458334-4.86128
-0.158696-5.01997
-0.209973-5.22995
よう-1.11405-6.344
-0.00603199-6.35003
-1.16331-7.51335
なさ-0.0731478-7.5865
-0.000621796-7.58712
-0.000564575-7.58768
</s>-0.00036335-7.58805

Attention

<s>giveyourargumentagainstgoing.</s>
0.000.000.000.860.020.120.000.00
さん0.000.000.000.470.440.080.000.01
0.000.000.000.290.270.440.000.00
0.000.000.000.010.060.930.000.00
0.000.000.000.010.540.440.000.01
よう0.000.020.000.020.810.140.000.01
0.000.150.010.060.780.010.000.00
0.000.880.010.010.070.020.000.00
なさ0.000.950.040.000.000.000.000.00
0.000.750.240.000.010.010.000.00
0.050.310.240.090.050.030.110.11
</s>0.010.420.330.090.020.040.030.04

Inference graph

Sentence 16

Raw input line

at the end of a working day everybody is in a hurry to get home .

Actual input words

attheendofaworkingdayeverybodyisinahurrytogethome.

Output words

仕事こと

Restored output line

仕事 を し て い る こと に 家 に 出 る 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
仕事-0.65719-0.65719
-1.48737-2.14456
-1.41162-3.55618
-0.425042-3.98122
-0.420632-4.40185
-0.131595-4.53345
こと-2.2778-6.81125
-0.239111-7.05036
-1.05661-8.10696
-0.135988-8.24295
-1.53492-9.77787
-0.643423-10.4213
-0.039649-10.4609
</s>-0.000265121-10.4612

Attention

<s>attheendofaworkingdayeverybodyisinahurrytogethome.</s>
仕事0.000.000.000.030.000.000.960.000.000.000.000.000.000.000.000.000.000.00
0.000.000.000.050.010.010.820.040.050.010.000.000.000.000.000.000.000.00
0.000.000.000.140.020.000.050.130.100.010.010.000.030.000.090.390.000.00
0.000.010.000.000.000.000.000.010.000.110.040.060.260.230.250.000.010.00
0.000.000.000.000.000.000.030.030.030.140.090.030.170.030.050.380.000.01
0.000.000.000.010.000.000.010.020.030.160.050.070.340.020.080.180.000.00
こと0.000.010.010.020.040.020.040.090.090.070.040.030.230.020.030.260.000.00
0.000.010.000.010.050.020.030.140.120.120.080.060.090.020.020.210.010.02
0.000.000.000.000.000.000.000.080.030.010.010.000.120.000.010.720.000.00
0.000.000.000.010.000.000.010.040.050.060.060.060.430.020.150.100.000.01
0.000.000.000.000.000.000.000.000.000.000.010.000.570.010.200.200.000.00
0.000.000.000.000.000.000.000.000.000.040.070.070.580.130.090.000.000.00
0.000.010.000.000.000.000.000.000.000.170.100.120.370.140.040.020.010.02
</s>0.000.040.010.010.020.020.000.020.030.150.060.210.210.040.020.100.020.03

Inference graph

Sentence 17

Raw input line

i was unable to look her in the face .

Actual input words

iwasunabletolookherintheface.

Output words

彼女まともことできかっ

Restored output line

彼女 の 顔 を まとも に 見 る こと が でき な かっ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
彼女-0.2547-0.2547
-0.048234-0.302934
-0.0234022-0.326336
-0.383684-0.71002
まとも-0.959957-1.66998
-0.0453463-1.71532
-0.996726-2.71205
-0.0702753-2.78232
こと-0.268625-3.05095
-0.3169-3.36785
でき-0.444722-3.81257
-0.0056057-3.81818
かっ-0.00855637-3.82673
-5.91278e-05-3.82679
-0.00127411-3.82807
</s>-5.72205e-05-3.82812

Attention

<s>iwasunabletolookherintheface.</s>
彼女0.000.000.000.000.000.000.960.010.000.020.000.00
0.000.000.010.000.000.000.340.030.020.580.010.01
0.000.000.000.000.000.000.040.000.010.940.000.00
0.000.000.000.000.010.040.270.610.010.050.000.00
まとも0.000.000.000.000.010.370.590.010.000.010.000.00
0.000.000.000.010.370.560.010.020.000.000.020.01
0.000.000.000.010.050.830.100.000.000.000.000.00
0.000.000.000.020.560.420.000.000.000.000.000.00
こと0.000.000.000.560.210.220.000.000.000.000.000.00
0.000.000.010.830.020.130.000.000.000.000.000.00
でき0.000.000.000.910.000.070.010.000.000.000.000.00
0.000.000.020.940.020.020.000.000.000.000.000.00
かっ0.000.000.040.920.020.020.000.000.000.000.000.00
0.030.190.220.230.030.040.010.010.010.000.120.10
0.000.160.470.210.020.030.010.010.000.000.040.05
</s>0.010.280.100.180.010.020.040.040.040.010.140.13

Inference graph

Sentence 18

Raw input line

some people go to church on sunday morning .

Actual input words

somepeoplegotochurchonsundaymorning.

Output words

日曜土曜教会

Restored output line

日曜 日 の 土曜 日 に 教会 が 出 る 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
日曜-0.770367-0.770367
-0.25308-1.02345
-1.35831-2.38176
土曜-2.2226-4.60436
-0.0083456-4.61271
-0.277052-4.88976
教会-0.716431-5.60619
-1.47528-7.08147
-1.06118-8.14265
-0.114965-8.25761
-0.109638-8.36725
</s>-0.000417709-8.36767

Attention

<s>somepeoplegotochurchonsundaymorning.</s>
日曜0.000.000.000.000.000.000.001.000.000.000.00
0.000.000.010.020.010.030.050.840.040.000.00
0.000.010.100.030.000.170.060.480.150.000.00
土曜0.000.000.070.010.000.720.010.060.120.000.00
0.000.000.040.120.020.310.500.000.000.000.01
0.000.000.090.030.000.710.110.030.020.000.00
教会0.000.000.080.030.000.860.000.010.010.000.00
0.000.010.400.110.020.440.020.000.000.000.00
0.000.010.200.690.010.080.000.000.000.000.00
0.000.070.290.250.310.010.030.000.000.020.02
0.020.150.340.230.180.010.000.000.000.030.03
</s>0.010.170.650.110.020.000.000.000.000.010.02

Inference graph

Sentence 19

Raw input line

i must put my watch forward two minutes .

Actual input words

imustputmywatchforwardtwominutes.

Output words

時計修理けれ

Restored output line

私 は 二 分 の 時計 を 修理 し な けれ ば な ら な い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.11659-1.11659
-0.00642014-1.12301
-0.844382-1.96739
-0.16878-2.13617
-1.32904-3.46521
時計-0.283367-3.74858
-0.0177555-3.76633
修理-1.72302-5.48935
-0.417981-5.90733
-0.116675-6.02401
けれ-0.239833-6.26384
-0.00112343-6.26496
-0.0499163-6.31488
-0.0301476-6.34503
-0.00475883-6.34979
-0.00144005-6.35123
-0.00130844-6.35254
</s>-7.82013e-05-6.35261

Attention

<s>imustputmywatchforwardtwominutes.</s>
0.000.000.000.000.010.180.000.740.060.000.00
0.000.000.000.000.030.040.010.070.840.000.00
0.000.000.000.000.020.130.010.780.060.000.00
0.000.000.000.000.000.020.020.110.840.000.00
0.000.000.000.000.000.270.520.030.140.010.02
時計0.000.000.000.020.030.800.120.010.020.000.00
0.000.000.000.030.020.430.480.010.040.000.00
修理0.000.000.000.170.000.020.440.250.110.000.00
0.000.000.120.600.000.000.260.000.010.000.01
0.000.000.290.600.000.000.090.000.000.000.01
けれ0.000.000.920.060.000.000.010.000.000.000.00
0.060.320.110.030.020.010.040.000.000.230.18
0.010.020.910.040.000.000.010.000.000.000.00
0.000.010.700.150.010.000.020.000.010.050.04
0.090.180.110.070.010.010.060.010.000.270.18
0.010.090.670.080.000.000.010.000.000.070.05
0.040.110.090.050.040.020.050.030.010.350.22
</s>0.020.250.290.120.080.010.120.020.020.040.04

Inference graph

Sentence 20

Raw input line

that is the boy i saw yesterday .

Actual input words

thatistheboyisawyesterday.

Output words

あれ昨日少年

Restored output line

あれ が 昨日 私 が 見 た 少年 で す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
あれ-0.172004-0.172004
-0.204432-0.376436
昨日-0.720006-1.09644
-0.068861-1.1653
-0.0772877-1.24259
-1.09818-2.34077
-0.0123501-2.35312
少年-0.0524817-2.4056
-0.0214739-2.42708
-0.00247765-2.42955
-0.00101852-2.43057
</s>-0.000739098-2.43131

Attention

<s>thatistheboyisawyesterday.</s>
あれ0.000.030.000.000.000.000.000.960.000.00
0.000.020.040.000.110.580.200.040.000.01
昨日0.000.000.000.000.010.380.000.600.000.00
0.000.000.000.000.030.640.210.110.000.00
0.000.000.000.000.060.460.450.010.010.02
0.000.000.000.000.000.000.960.030.000.01
0.000.000.000.010.140.010.810.000.010.02
少年0.000.000.000.020.930.000.040.000.000.00
0.000.000.030.170.760.020.010.000.000.01
0.010.000.150.500.150.020.030.020.030.09
0.030.000.340.130.120.020.040.040.160.13
</s>0.000.010.110.110.680.030.010.020.020.02

Inference graph

Sentence 21

Raw input line

ten years is a long time to wait .

Actual input words

tenyearsisalongtimetowait.

Output words

10時間年月

Restored output line

10 年 待 っ て 長 い 時間 が 長 い 年月 だ 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
10-0.0255556-0.0255556
-0.227157-0.252712
-0.752838-1.00555
-1.05967-2.06522
-0.0715322-2.13675
-1.55489-3.69164
-0.356218-4.04786
時間-0.634086-4.68195
-0.491937-5.17388
-0.230711-5.40459
-0.112818-5.51741
年月-1.20705-6.72446
-0.0175829-6.74205
-0.00513077-6.74718
</s>-0.000198364-6.74737

Attention

<s>tenyearsisalongtimetowait.</s>
100.001.000.000.000.000.000.000.000.000.000.00
0.000.010.940.010.010.000.000.000.020.000.00
0.000.050.050.000.000.020.010.040.820.000.00
0.000.020.000.000.000.090.040.020.800.000.02
0.000.000.000.010.010.170.380.390.030.000.01
0.000.020.040.020.010.340.200.070.290.000.01
0.000.020.010.060.050.150.210.130.360.010.01
時間0.000.010.010.020.010.070.230.060.560.010.01
0.000.000.010.050.070.120.070.020.630.010.03
0.000.010.000.070.040.420.270.020.130.020.04
0.000.000.000.030.050.130.620.090.040.010.03
年月0.010.000.000.110.280.030.370.150.030.020.02
0.000.000.000.180.370.040.180.100.030.040.06
0.000.000.000.160.540.040.150.070.000.020.03
</s>0.000.000.000.090.210.060.080.190.020.140.21

Inference graph

Sentence 22

Raw input line

i met him in tokyo by chance .

Actual input words

imethimintokyobychance.

Output words

東京

Restored output line

彼 と 東京 で 彼 と 会 っ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.54278-1.54278
-0.0632906-1.60607
東京-0.330136-1.93621
-0.227703-2.16391
-0.247336-2.41125
-0.4124-2.82365
-0.597089-3.42074
-0.0401402-3.46088
-0.019455-3.48033
-0.158243-3.63857
</s>-0.00036335-3.63894

Attention

<s>imethimintokyobychance.</s>
0.000.000.000.050.010.370.000.560.010.00
0.000.000.040.500.170.040.020.220.000.01
東京0.000.000.000.000.010.630.010.350.000.00
0.000.000.010.210.320.080.210.140.010.02
0.010.010.070.510.290.030.060.010.000.00
0.000.000.040.940.010.000.000.000.000.00
0.000.000.510.070.030.310.010.050.000.00
0.010.010.560.340.050.010.010.000.000.00
0.000.010.280.070.120.030.360.030.040.05
0.010.070.570.210.010.110.010.010.000.00
</s>0.020.200.480.090.030.050.030.040.020.03

Inference graph

Sentence 23

Raw input line

i often go swimming in the river .

Actual input words

ioftengoswimmingintheriver.

Output words

よく泳ぎ

Restored output line

私 は よく 川 へ 泳ぎ に 行 き ま す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.219398-0.219398
-0.0184155-0.237813
よく-0.0285931-0.266406
-0.127227-0.393633
-0.965558-1.35919
泳ぎ-0.291367-1.65056
-0.0923319-1.74289
-0.114488-1.85738
-0.533508-2.39089
-0.00583458-2.39672
-0.00312614-2.39985
-0.000823975-2.40067
</s>-0.000139236-2.40081

Attention

<s>ioftengoswimmingintheriver.</s>
0.000.000.310.000.020.030.090.540.000.00
0.000.010.020.010.040.060.060.800.010.01
よく0.000.000.950.000.000.000.010.030.000.00
0.000.000.000.000.020.020.020.930.000.00
0.000.000.000.000.150.030.010.800.000.00
泳ぎ0.000.000.000.000.990.000.000.000.000.00
0.000.000.000.160.790.000.000.040.000.00
0.000.000.000.860.130.000.000.000.000.00
0.000.000.030.900.020.000.000.000.020.02
0.000.000.270.640.010.010.000.000.020.04
0.000.030.070.810.020.000.000.000.030.03
0.010.010.080.130.020.030.060.020.400.24
</s>0.010.070.110.170.040.060.050.020.230.25

Inference graph

Sentence 24

Raw input line

he called out for help .

Actual input words

hecalledoutforhelp.

Output words

大声助け求め

Restored output line

彼 は 大声 で 助け を 求め た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0118523-0.0118523
-0.00335884-0.0152111
大声-0.761431-0.776642
-0.0152025-0.791844
助け-0.0643091-0.856153
-0.0486498-0.904803
求め-0.15216-1.05696
-0.0301886-1.08715
-0.000354767-1.08751
</s>-0.000123978-1.08763

Attention

<s>hecalledoutforhelp.</s>
0.010.370.430.090.040.030.020.02
0.000.040.930.020.010.000.000.00
大声0.000.010.110.130.020.730.000.00
0.000.000.080.020.090.800.000.00
助け0.000.000.050.020.020.910.000.00
0.000.000.410.100.120.360.000.00
求め0.000.000.850.120.010.000.000.00
0.000.000.890.080.020.000.000.01
0.000.060.770.120.010.010.010.02
</s>0.030.370.360.150.060.000.010.02

Inference graph

Sentence 25

Raw input line

he rescued the child from the fire .

Actual input words

herescuedthechildfromthefire.

Output words

その火事から

Restored output line

彼 は その 火事 から 火 を 救 っ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.00681782-0.00681782
-0.00725174-0.0140696
その-0.0977707-0.11184
火事-0.663813-0.775653
から-0.989992-1.76565
-0.857718-2.62336
-0.278238-2.9016
-1.70231-4.60391
-0.00261879-4.60653
-0.0467377-4.65327
-0.000637054-4.6539
</s>-0.000110626-4.65401

Attention

<s>herescuedthechildfromthefire.</s>
0.000.050.180.030.140.010.010.570.010.01
0.000.040.340.010.410.030.010.140.010.01
その0.000.000.010.000.350.000.000.630.000.00
火事0.000.000.000.000.190.260.010.530.000.00
から0.000.000.030.000.150.430.040.350.000.00
0.000.000.010.000.160.020.000.800.000.00
0.000.010.170.010.760.030.000.020.000.00
0.010.000.930.010.010.020.000.010.000.00
0.000.000.900.000.000.050.000.000.010.03
0.000.000.960.010.010.010.000.000.000.01
0.000.020.920.000.030.000.000.000.010.01
</s>0.010.160.740.030.010.020.010.000.020.02

Inference graph

Sentence 26

Raw input line

i cannot agree to his proposal .

Actual input words

icannotagreetohisproposal.

Output words

提案賛成でき

Restored output line

私 は 彼 の 提案 に 賛成 でき な い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.628626-0.628626
-0.0593529-0.687979
-0.0393858-0.727365
-0.00658798-0.733953
提案-0.06495-0.798903
-0.00608635-0.804989
賛成-0.822351-1.62734
でき-0.596585-2.22392
-0.00572205-2.22965
-0.00413513-2.23378
-0.00700474-2.24079
</s>-0.000214577-2.241

Attention

<s>icannotagreetohisproposal.</s>
0.000.010.000.010.010.760.170.010.02
0.000.000.000.000.000.980.010.000.00
0.000.000.000.010.000.770.210.000.00
0.000.000.000.000.000.970.010.000.01
提案0.000.000.000.000.000.001.000.000.00
0.000.000.020.440.530.000.000.000.00
賛成0.000.000.010.990.000.000.000.000.00
でき0.000.000.260.730.010.000.000.000.00
0.000.000.830.170.000.000.000.000.00
0.000.000.950.050.000.000.000.000.00
0.020.110.460.080.020.030.030.170.09
</s>0.020.110.470.200.080.050.010.050.03

Inference graph

Sentence 27

Raw input line

we read the letter again and again .

Actual input words

wereadtheletteragainandagain.

Output words

その手紙

Restored output line

私 達 は 何 度 も その 手紙 を 読 ん だ 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.394423-0.394423
-0.524197-0.918619
-0.00565243-0.924272
-0.497419-1.42169
-0.16325-1.58494
-0.0441093-1.62905
その-1.35188-2.98093
手紙-0.262924-3.24386
-0.317359-3.56121
-0.624915-4.18613
-0.344939-4.53107
-0.156384-4.68745
-0.00656796-4.69402
</s>-0.000266075-4.69429

Attention

<s>wereadtheletteragainandagain.</s>
0.000.010.000.000.890.080.000.010.000.00
0.000.160.090.120.410.100.050.010.020.04
0.000.110.110.070.410.230.020.030.000.01
0.000.000.020.010.260.630.000.070.000.00
0.000.000.000.000.890.110.000.000.000.00
0.000.000.020.000.050.920.000.000.000.00
その0.000.000.020.020.400.480.000.070.000.00
手紙0.000.000.010.010.880.080.010.010.000.00
0.000.000.060.050.240.450.110.070.000.00
0.000.000.920.000.000.010.000.060.000.00
0.000.000.680.020.000.000.050.090.040.11
0.000.010.180.010.000.000.070.090.270.37
0.010.090.140.000.000.000.040.100.210.41
</s>0.000.100.000.010.000.000.030.170.300.39

Inference graph

Sentence 28

Raw input line

i 'm happy to see you .

Actual input words

i'mhappytoseeyou.

Output words

かかうれし

Restored output line

お 目 に かか れ て うれし い で す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.820429-0.820429
-0.346201-1.16663
-0.138514-1.30514
かか-0.431367-1.73651
-0.123939-1.86045
-0.180637-2.04109
うれし-0.276164-2.31725
-0.412467-2.72972
-0.0476036-2.77732
-0.00906563-2.78639
-0.0452003-2.83159
</s>-0.00100136-2.83259

Attention

<s>i'mhappytoseeyou.</s>
0.000.000.000.020.010.900.050.010.02
0.000.000.000.010.020.510.310.040.11
0.000.000.000.000.010.010.060.290.63
かか0.000.000.000.030.120.820.020.000.01
0.000.000.000.080.520.100.010.100.18
0.000.000.050.290.570.050.010.010.02
うれし0.000.000.020.900.060.010.000.000.00
0.000.000.030.780.130.010.020.010.01
0.000.010.090.880.010.000.000.000.00
0.000.020.160.770.020.000.000.010.01
0.010.080.300.420.040.010.080.040.02
</s>0.000.090.130.690.020.010.020.030.02

Inference graph

Sentence 29

Raw input line

ask your dad to help you .

Actual input words

askyourdadtohelpyou.

Output words

さん手伝下さ

Restored output line

お 父 さん に 手伝 っ て 下さ い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.365404-0.365404
-0.728461-1.09387
さん-0.00464058-1.09851
-0.97648-2.07499
手伝-1.17607-3.25106
-0.599935-3.851
-0.0722704-3.92327
下さ-1.28241-5.20567
-0.00931358-5.21499
-0.00601673-5.221
</s>-0.00132084-5.22233

Attention

<s>askyourdadtohelpyou.</s>
0.000.000.001.000.000.000.000.000.00
0.000.000.000.980.010.000.010.000.00
さん0.000.000.010.020.280.010.060.400.23
0.000.000.000.000.010.980.010.000.00
手伝0.000.010.000.000.020.960.010.000.00
0.000.010.010.000.210.710.050.000.00
0.010.260.050.000.540.030.030.050.04
下さ0.000.490.060.010.070.120.230.010.01
0.000.720.070.000.110.040.020.020.02
0.040.400.240.010.050.010.060.130.06
</s>0.020.460.340.030.040.010.060.030.02

Inference graph

Sentence 30

Raw input line

they adopted the proposal .

Actual input words

theyadoptedtheproposal.

Output words

その提案採用

Restored output line

彼 ら は その 提案 を 採用 し た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.00859451-0.00859451
-0.0205994-0.0291939
-0.0139303-0.0431242
その-0.13672-0.179844
提案-0.149141-0.328985
-0.163525-0.49251
採用-0.692402-1.18491
-0.0421104-1.22702
-0.00594521-1.23297
-0.000484467-1.23345
</s>-4.19617e-05-1.23349

Attention

<s>theyadoptedtheproposal.</s>
0.050.450.270.060.090.030.05
0.000.080.810.030.030.010.03
0.000.000.020.000.980.000.00
その0.000.000.000.001.000.000.00
提案0.000.000.050.020.930.000.00
0.000.000.660.020.300.000.01
採用0.000.001.000.000.000.000.00
0.000.000.930.000.000.010.05
0.000.000.900.000.000.040.05
0.010.180.540.020.010.120.12
</s>0.070.410.080.060.010.170.20

Inference graph

Sentence 31

Raw input line

i feel good in a special way .

Actual input words

ifeelgoodinaspecialway.

Output words

特別

Restored output line

私 は 特別 な い と 思 う 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.75452-1.75452
-0.0106325-1.76516
特別-2.5375-4.30266
-0.807025-5.10968
-0.577765-5.68745
-1.32525-7.0127
-0.479054-7.49175
-0.290063-7.78182
-0.0791073-7.86092
</s>-0.000542641-7.86147

Attention

<s>ifeelgoodinaspecialway.</s>
0.000.000.000.000.000.000.990.010.000.00
0.000.000.020.010.000.010.780.170.000.01
特別0.000.000.000.000.000.000.990.000.000.00
0.000.000.000.000.000.000.960.030.000.00
0.000.000.040.020.010.000.680.240.000.00
0.000.010.510.100.170.040.010.150.000.00
0.000.000.590.260.120.010.010.010.000.00
0.000.000.640.290.040.010.010.010.000.00
0.000.010.740.090.060.040.010.020.010.01
</s>0.000.020.750.070.080.040.000.000.010.02

Inference graph

Sentence 32

Raw input line

nobody has seen him ever since .

Actual input words

nobodyhasseenhimeversince.

Output words

それ以来見えかっ

Restored output line

それ 以来 彼 に 何 も 見え な かっ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
それ-1.60768-1.60768
以来-0.0387573-1.64644
-0.338703-1.98514
-0.767639-2.75278
-0.443971-3.19675
-0.313534-3.51029
見え-1.26412-4.77441
-0.0247879-4.7992
かっ-0.546848-5.34605
-0.00204468-5.34809
-0.0262814-5.37437
</s>-0.000206947-5.37458

Attention

<s>nobodyhasseenhimeversince.</s>
それ0.000.210.010.010.220.130.360.030.02
以来0.000.030.010.030.330.030.310.120.14
0.000.000.000.010.850.010.120.000.00
0.000.000.000.010.770.050.140.010.01
0.000.000.000.040.020.830.100.000.00
0.000.000.000.090.080.690.130.000.00
見え0.000.000.000.330.410.230.030.000.00
0.000.000.000.100.260.580.040.000.01
かっ0.000.370.260.180.040.090.040.000.01
0.070.240.100.130.180.090.070.070.06
0.000.550.150.080.030.070.040.050.03
</s>0.020.470.340.120.020.010.010.010.00

Inference graph

Sentence 33

Raw input line

she has seen better days .

Actual input words

shehasseenbetterdays.

Output words

彼女以前羽振りかっ

Restored output line

彼女 は 以前 は 羽振り が よ かっ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
彼女-0.00654411-0.00654411
-0.431831-0.438375
以前-1.50765-1.94603
-1.24525-3.19128
羽振り-0.461194-3.65247
-0.0429659-3.69544
-0.19306-3.8885
かっ-0.0901041-3.9786
-0.000303268-3.97891
-0.00564671-3.98455
</s>-8.2016e-05-3.98463

Attention

<s>shehasseenbetterdays.</s>
彼女0.000.490.010.340.110.040.000.00
0.000.030.060.700.150.050.000.00
以前0.000.000.000.870.110.020.000.00
0.000.000.000.360.570.060.000.00
羽振り0.000.000.000.640.320.040.000.00
0.000.000.000.290.650.040.000.00
0.000.000.020.210.640.090.010.04
かっ0.000.000.360.390.080.030.050.08
0.020.020.320.390.040.050.090.07
0.010.080.390.090.260.060.050.05
</s>0.010.070.440.080.090.030.130.15

Inference graph

Sentence 34

Raw input line

please pass it to the other boys .

Actual input words

pleasepassittotheotherboys.

Output words

それ少年たちそれ下さ

Restored output line

それ ら の 少年 たち に それ を 知 ら せ て 下さ い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
それ-1.85981-1.85981
-0.25441-2.11422
-0.0359802-2.1502
少年-1.10142-3.25162
たち-1.40376-4.65539
-0.233414-4.8888
それ-0.640111-5.52891
-0.0219479-5.55086
-2.06109-7.61195
-0.0303268-7.64227
-0.0185795-7.66085
-0.037611-7.69846
下さ-0.436705-8.13517
-0.00261879-8.13779
-0.00113678-8.13892
</s>-0.000299454-8.13922

Attention

<s>pleasepassittotheotherboys.</s>
それ0.000.000.000.100.010.000.600.270.000.00
0.000.000.000.010.010.010.540.430.000.00
0.000.000.000.000.000.000.570.430.000.00
少年0.000.000.000.010.000.000.430.560.000.00
たち0.000.000.000.010.060.050.810.040.010.01
0.000.000.010.110.040.040.690.120.000.00
それ0.000.000.100.440.050.080.220.110.000.00
0.000.000.100.290.290.090.190.030.000.00
0.000.030.120.280.200.040.170.160.000.00
0.000.020.130.080.660.060.040.000.010.01
0.000.130.460.140.250.010.000.000.000.00
0.000.660.320.010.010.000.000.000.000.00
下さ0.000.400.510.020.050.000.000.000.000.00
0.000.490.470.010.020.000.000.000.000.00
0.040.100.500.040.040.040.010.020.120.09
</s>0.000.320.400.110.040.060.020.000.020.03

Inference graph

Sentence 35

Raw input line

i still bear his name in mind .

Actual input words

istillbearhisnameinmind.

Output words

まだ名前よく覚え

Restored output line

私 は まだ 彼 の 名前 を よく 覚え て い る 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.459586-0.459586
-0.011117-0.470703
まだ-0.384188-0.854891
-1.34233-2.19722
-0.0558558-2.25307
名前-0.204459-2.45753
-0.0551558-2.51269
よく-1.92958-4.44227
覚え-0.3417-4.78397
-0.02913-4.8131
-0.13322-4.94632
-0.0425186-4.98884
-0.00366402-4.9925
</s>-9.34601e-05-4.99259

Attention

<s>istillbearhisnameinmind.</s>
0.000.090.840.000.020.010.000.020.000.00
0.000.160.030.010.500.080.020.170.010.02
まだ0.000.010.970.000.010.010.000.000.000.00
0.000.000.000.000.220.610.020.150.000.00
0.000.000.000.000.430.200.090.260.000.00
名前0.000.000.000.000.000.970.000.030.000.00
0.000.000.140.350.030.210.060.200.000.00
よく0.000.000.060.930.000.000.000.010.000.00
覚え0.000.000.010.990.000.000.000.000.000.00
0.000.000.010.990.000.000.000.000.000.00
0.000.000.080.910.000.000.000.000.000.00
0.000.000.020.950.000.000.000.000.010.00
0.000.000.090.840.000.000.010.010.020.01
</s>0.000.000.060.880.010.000.020.010.010.00

Inference graph

Sentence 36

Raw input line

i want to marry you .

Actual input words

iwanttomarryyou.

Output words

あなた結婚

Restored output line

私 は あなた と 結婚 し た い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.06924-1.06924
-0.0427303-1.11197
あなた-0.402555-1.51453
-0.133461-1.64799
結婚-0.99021-2.6382
-0.266333-2.90453
-0.0663776-2.97091
-0.00120735-2.97212
-0.0861626-3.05828
</s>-0.000339508-3.05862

Attention

<s>iwanttomarryyou.</s>
0.000.000.000.030.810.150.000.00
0.000.000.010.030.550.380.020.02
あなた0.000.000.000.000.030.970.000.00
0.000.000.000.020.340.650.000.00
結婚0.000.000.000.010.650.340.000.00
0.000.000.000.350.560.070.010.01
0.000.000.090.880.000.000.010.01
0.000.020.270.590.040.030.030.02
0.140.090.070.040.060.110.310.17
</s>0.040.090.400.030.020.050.210.15

Inference graph

Sentence 37

Raw input line

we see them on occasion .

Actual input words

weseethemonoccasion.

Output words

もう

Restored output line

私 達 は もう 一 度 彼 ら に 会 い ま す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.8186-1.8186
-0.614498-2.4331
-0.00441933-2.43752
もう-2.50347-4.94099
-1.25829-6.19928
-0.187613-6.3869
-0.779432-7.16633
-0.0174656-7.18379
-0.677929-7.86172
-0.0599737-7.9217
-0.827571-8.74927
-0.0410213-8.79029
-0.00541496-8.7957
-0.00371075-8.79941
</s>-0.000240326-8.79965

Attention

<s>weseethemonoccasion.</s>
0.000.000.000.010.000.980.000.00
0.000.030.020.040.540.140.080.17
0.000.020.030.570.010.370.000.00
もう0.000.000.000.150.000.840.000.00
0.000.000.000.210.150.630.000.00
0.000.000.010.380.250.360.000.01
0.000.000.030.450.400.110.000.01
0.000.000.010.820.020.150.000.00
0.000.000.880.060.000.060.000.00
0.000.000.970.000.010.010.000.00
0.000.000.680.030.170.080.000.03
0.000.010.400.060.420.020.020.06
0.000.040.780.040.020.010.010.09
0.030.170.160.060.190.020.160.20
</s>0.010.060.580.080.060.100.020.09

Inference graph

Sentence 38

Raw input line

the earth rotates .

Actual input words

theearth<unk>.

Output words

地球<unk>

Restored output line

地球 は <unk> で す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
地球-0.761451-0.761451
-0.0165625-0.778013
<unk>-0.891535-1.66955
-1.03333-2.70288
-0.513689-3.21657
-0.00539398-3.22196
</s>-0.000131607-3.22209

Attention

<s>theearth<unk>.</s>
地球0.000.000.990.000.000.00
0.000.020.470.480.010.01
<unk>0.010.010.080.910.000.00
0.020.000.010.960.000.01
0.150.030.000.150.100.57
0.030.010.000.110.410.43
</s>0.030.060.000.030.350.52

Inference graph

Sentence 39

Raw input line

tell me which you want .

Actual input words

tellmewhichyouwant.

Output words

どちら欲し教えくださ

Restored output line

どちら が 欲し い の か 教え て くださ い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
どちら-0.631624-0.631624
-0.563028-1.19465
欲し-0.163003-1.35766
-0.00887394-1.36653
-1.18-2.54653
-0.342287-2.88881
教え-0.278059-3.16687
-0.0783911-3.24527
くださ-0.69955-3.94481
-0.000768661-3.94558
-0.00131035-3.94689
</s>-0.000535011-3.94743

Attention

<s>tellmewhichyouwant.</s>
どちら0.000.010.040.010.080.840.010.01
0.000.000.000.000.140.820.010.02
欲し0.000.000.000.000.010.980.000.00
0.000.000.000.010.020.950.010.01
0.000.480.030.390.030.040.010.01
0.000.670.170.160.000.000.000.00
教え0.000.330.640.030.000.000.000.00
0.000.440.550.010.000.000.000.00
くださ0.000.570.400.030.000.000.000.00
0.010.780.190.010.000.000.000.00
0.050.450.150.310.020.000.010.01
</s>0.030.590.300.080.000.000.000.00

Inference graph

Sentence 40

Raw input line

i wish i knew where he was !

Actual input words

iwishiknewwherehewas!

Output words

どこなあ

Restored output line

彼 が どこ で あ る か なあ 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.39326-1.39326
-0.202225-1.59548
どこ-1.37933-2.97481
-1.10075-4.07555
-0.294992-4.37055
-0.438697-4.80924
-0.464801-5.27404
なあ-1.64835-6.9224
-0.0641146-6.98651
</s>-0.00450897-6.99102

Attention

<s>iwishiknewwherehewas!</s>
0.000.000.000.000.050.050.750.150.010.00
0.000.000.000.000.010.010.430.550.000.00
どこ0.000.000.000.000.280.430.100.190.000.00
0.000.000.000.000.000.000.000.990.000.00
0.000.000.000.000.360.290.010.330.000.00
0.000.000.000.000.380.050.060.450.020.04
0.000.000.060.010.380.030.010.430.070.02
なあ0.000.000.580.020.190.010.020.090.060.02
0.000.010.210.020.620.060.010.040.020.01
</s>0.010.120.360.050.080.040.040.030.260.01

Inference graph

Sentence 41

Raw input line

we took an examination in math last week .

Actual input words

wetookanexaminationinmathlastweek.

Output words

たち先週数学試験受け

Restored output line

私 たち は 先週 数学 の 試験 を 受け た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.5729-0.5729
たち-0.244397-0.817297
-0.00745964-0.824757
先週-0.311703-1.13646
数学-0.160875-1.29733
-0.424437-1.72177
試験-0.0612345-1.78301
-0.424486-2.20749
受け-0.0764399-2.28393
-0.0242491-2.30818
-0.000537872-2.30872
</s>-4.19617e-05-2.30876

Attention

<s>wetookanexaminationinmathlastweek.</s>
0.000.000.000.000.000.000.230.030.730.000.00
たち0.000.010.010.010.010.100.850.000.000.000.01
0.000.010.000.000.000.010.170.060.740.000.00
先週0.000.000.000.000.000.000.020.000.980.000.00
数学0.000.000.000.000.030.010.950.000.000.000.00
0.000.000.000.000.870.000.120.000.000.000.00
試験0.000.000.070.060.840.020.020.000.000.000.00
0.000.000.160.010.810.010.000.000.000.000.00
受け0.000.000.840.120.030.000.000.000.000.000.00
0.000.010.810.040.010.040.000.000.000.020.06
0.010.060.450.220.070.040.010.030.040.020.04
</s>0.020.130.170.040.010.040.010.150.010.190.23

Inference graph

Sentence 42

Raw input line

check , please .

Actual input words

check,please.

Output words

勘定

Restored output line

勘定 を お 願 い し ま す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
勘定-1.40608-1.40608
-0.290153-1.69623
-0.66696-2.36319
-0.0613251-2.42452
-0.0394001-2.46392
-0.0589151-2.52283
-0.00504971-2.52788
-0.0772858-2.60517
-0.0146322-2.6198
</s>-0.000333786-2.62013

Attention

<s>check,please.</s>
勘定0.000.970.020.010.000.00
0.010.590.010.130.050.20
0.010.080.000.550.030.32
0.040.020.000.240.200.51
0.000.000.000.020.260.71
0.100.050.030.330.150.34
0.050.140.010.550.130.12
0.030.070.010.730.090.07
0.100.230.070.370.100.12
</s>0.050.170.030.520.120.11

Inference graph

Sentence 43

Raw input line

i listened , but i heard nothing .

Actual input words

ilistened,butiheardnothing.

Output words

かっ

Restored output line

聞 い た が な かっ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.32255-1.32255
-0.0636444-1.38619
-0.326612-1.71281
-0.64281-2.35562
-1.19582-3.55143
かっ-0.5003-4.05173
-0.000946045-4.05268
-0.497937-4.55061
</s>-0.00981426-4.56043

Attention

<s>ilistened,butiheardnothing.</s>
0.000.000.990.000.000.000.000.000.000.00
0.000.010.710.100.060.030.050.030.000.00
0.100.070.160.140.290.030.040.120.020.03
0.000.000.040.040.370.200.130.200.010.02
0.000.000.000.060.130.020.090.620.030.06
かっ0.000.000.000.000.020.030.110.810.010.02
0.000.000.020.010.230.050.490.150.030.03
0.000.000.010.030.220.030.090.520.050.05
</s>0.000.000.000.070.170.050.220.240.130.12

Inference graph

Sentence 44

Raw input line

she did not marry the man .

Actual input words

shedidnotmarrytheman.

Output words

彼女その結婚かっ

Restored output line

彼女 は その 男 と 結婚 し な かっ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
彼女-0.00342369-0.00342369
-0.00348854-0.00691223
その-0.175705-0.182617
-0.0413904-0.224008
-0.263457-0.487465
結婚-0.0397072-0.527172
-0.0587311-0.585903
-0.140006-0.725909
かっ-0.0323877-0.758297
-8.39233e-05-0.758381
-0.00274754-0.761128
</s>-0.000139236-0.761268

Attention

<s>shedidnotmarrytheman.</s>
彼女0.000.440.040.020.240.030.220.010.01
0.000.030.390.040.040.000.490.000.01
その0.000.000.000.000.000.010.990.000.00
0.000.000.000.000.000.001.000.000.00
0.000.000.000.070.880.010.020.010.01
結婚0.000.000.000.020.960.000.010.000.00
0.000.000.060.340.580.000.010.000.00
0.000.000.260.730.010.000.000.000.00
かっ0.000.000.010.970.010.000.000.000.00
0.000.040.500.070.040.030.040.200.08
0.000.130.190.180.020.010.140.160.17
</s>0.020.190.130.090.100.050.090.160.17

Inference graph

Sentence 45

Raw input line

he doesn 't read many books .

Actual input words

hedoesn'treadmanybooks.

Output words

多く

Restored output line

彼 は 多く の 本 を 読 ま な い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0484772-0.0484772
-0.000646591-0.0491238
多く-1.41299-1.46212
-0.00214577-1.46426
-0.0561762-1.52044
-0.0131569-1.5336
-0.225928-1.75952
-0.747313-2.50684
-0.170613-2.67745
-0.00391769-2.68137
-0.00123024-2.6826
</s>-5.34058e-05-2.68265

Attention

<s>hedoesn'treadmanybooks.</s>
0.000.120.050.020.130.270.380.010.02
0.010.430.310.040.070.100.020.010.02
多く0.000.000.000.000.210.630.160.000.00
0.000.000.000.000.310.230.450.000.00
0.000.000.000.000.340.150.500.000.00
0.000.000.000.010.640.320.020.000.00
0.000.000.000.000.810.180.000.000.00
0.000.000.040.120.830.000.000.000.00
0.000.000.020.360.610.000.000.000.00
0.010.010.140.660.140.010.010.000.01
0.060.100.510.060.040.030.070.080.05
</s>0.010.210.530.100.040.020.050.020.03

Inference graph

Sentence 46

Raw input line

she doesn 't have any enemies .

Actual input words

shedoesn'thaveany<unk>.

Output words

彼女<unk>

Restored output line

彼女 に は <unk> が あ り ま せ ん 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
彼女-0.11298-0.11298
-0.3188-0.43178
-0.185925-0.617704
<unk>-0.972442-1.59015
-0.118896-1.70904
-0.595814-2.30486
-0.0829639-2.38782
-0.000238419-2.38806
-0.00100899-2.38907
-0.000579834-2.38965
-0.00760078-2.39725
</s>-0.00111961-2.39837

Attention

<s>shedoesn'thaveany<unk>.</s>
彼女0.000.620.050.010.020.040.200.010.05
0.000.050.220.040.080.160.400.010.03
0.000.000.000.000.000.060.940.000.00
<unk>0.000.010.010.000.030.170.750.010.03
0.000.000.000.000.040.350.550.010.03
0.000.000.020.050.130.410.350.010.03
0.000.000.050.360.220.310.040.010.01
0.000.010.040.600.090.220.010.010.02
0.000.000.010.340.080.490.050.010.02
0.010.010.150.210.220.280.020.050.05
0.000.000.050.220.040.530.040.040.08
</s>0.010.190.130.120.100.240.050.100.07

Inference graph

Sentence 47

Raw input line

in the summer , it 's very humid .

Actual input words

inthesummer,it'sveryhumid.

Output words

<unk>

Restored output line

夏 に は 、 <unk> が 多 い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.102736-0.102736
-0.969855-1.07259
-0.0694036-1.142
-1.60692-2.74892
<unk>-1.83212-4.58104
-0.266947-4.84799
-1.87828-6.72627
-0.0479908-6.77426
-0.127191-6.90145
</s>-0.000514984-6.90197

Attention

<s>inthesummer,it'sveryhumid.</s>
0.000.000.001.000.000.000.000.000.000.000.00
0.000.030.040.900.010.010.010.000.000.000.00
0.020.390.020.010.000.140.010.100.320.000.00
0.000.010.000.000.000.180.040.160.600.000.00
<unk>0.000.000.000.000.000.000.030.010.950.000.01
0.000.000.000.000.000.000.010.010.970.000.00
0.000.000.000.000.000.000.010.620.360.000.00
0.000.000.000.000.000.000.080.000.850.020.04
0.000.000.000.000.030.020.660.010.150.070.06
</s>0.000.000.000.000.000.060.720.040.140.010.02

Inference graph

Sentence 48

Raw input line

he made me write the letter with a pen .

Actual input words

hemademewritetheletterwithapen.

Output words

ペンくれ

Restored output line

彼 は 私 に ペン を 書 い て くれ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0037117-0.0037117
-0.0131264-0.0168381
-0.148411-0.165249
-1.3022-1.46745
ペン-0.137646-1.6051
-0.588743-2.19384
-0.757216-2.95106
-0.230062-3.18112
-0.540629-3.72175
くれ-0.016777-3.73852
-0.0200186-3.75854
-0.0172691-3.77581
</s>-0.0001688-3.77598

Attention

<s>hemademewritetheletterwithapen.</s>
0.000.060.160.240.040.000.020.030.010.380.020.02
0.000.020.320.620.010.000.010.000.000.000.000.01
0.000.000.000.920.000.000.000.000.000.070.000.00
0.000.000.000.040.000.000.080.150.350.350.000.01
ペン0.000.000.000.000.000.000.060.000.000.930.000.00
0.000.000.000.000.000.000.190.020.050.730.000.00
0.000.000.000.000.310.000.540.120.010.020.000.00
0.000.000.000.000.100.100.090.210.260.030.100.12
0.000.000.010.040.360.130.350.020.010.040.020.03
くれ0.000.000.040.890.040.020.010.000.000.000.000.00
0.000.040.210.490.090.060.020.000.020.020.020.02
0.000.020.030.910.010.010.000.000.000.010.000.00
</s>0.010.410.060.170.030.030.000.030.010.050.130.07

Inference graph

Sentence 49

Raw input line

he got tired of reading .

Actual input words

hegottiredofreading.

Output words

読書不足しま

Restored output line

彼 は 読書 不足 し て しま っ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0402203-0.0402203
-0.000526428-0.0407467
読書-0.115711-0.156458
不足-1.39742-1.55388
-0.502844-2.05672
-0.232281-2.289
しま-0.954631-3.24363
-0.0467262-3.29036
-0.000688553-3.29105
-0.00115013-3.2922
</s>-0.000104904-3.2923

Attention

<s>hegottiredofreading.</s>
0.010.110.080.150.030.600.010.01
0.000.090.250.510.100.030.010.01
読書0.000.000.000.050.000.950.000.00
不足0.000.000.010.180.670.120.010.01
0.000.000.010.960.010.020.000.00
0.000.010.090.860.030.000.000.00
しま0.000.010.500.490.000.000.000.00
0.000.030.830.130.010.000.000.00
0.010.010.590.220.050.000.070.06
0.000.020.290.670.010.000.000.00
</s>0.090.340.410.030.040.000.040.04

Inference graph

Sentence 50

Raw input line

put down your name and address here .

Actual input words

putdownyournameandaddresshere.

Output words

ここ住所くださ

Restored output line

ここ に 住所 を 書 い て くださ い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
ここ-0.0366774-0.0366774
-0.123006-0.159683
住所-1.18742-1.34711
-0.181199-1.52831
-1.57158-3.09989
-0.445343-3.54523
-0.0468349-3.59207
くださ-0.516041-4.10811
-0.0055542-4.11366
-0.0031414-4.1168
</s>-0.000822067-4.11763

Attention

<s>putdownyournameandaddresshere.</s>
ここ0.000.000.000.010.170.020.010.790.000.00
0.000.000.000.010.780.090.030.090.000.00
住所0.000.000.030.020.630.110.150.060.000.00
0.000.000.080.030.460.210.090.120.000.00
0.000.020.060.010.040.020.790.060.000.00
0.000.040.050.000.010.030.820.010.010.02
0.000.120.130.010.020.020.520.020.030.13
くださ0.000.060.020.020.010.000.710.050.030.10
0.010.160.120.040.010.010.570.030.010.04
0.010.120.170.110.020.020.300.030.080.15
</s>0.010.040.030.220.020.030.390.170.030.07

Inference graph

Sentence 51

Raw input line

she played the piano well enough .

Actual input words

sheplayedthepianowellenough.

Output words

彼女ピアノ十分ピアノ

Restored output line

彼女 は ピアノ で 十分 ピアノ を ひ い た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
彼女-0.003479-0.003479
-0.000802994-0.004282
ピアノ-0.436296-0.440578
-1.9452-2.38578
十分-1.29175-3.67753
ピアノ-0.760237-4.43777
-0.00635338-4.44412
-0.890928-5.33505
-0.481334-5.81638
-0.00952721-5.82591
-0.00147629-5.82739
</s>-5.14984e-05-5.82744

Attention

<s>sheplayedthepianowellenough.</s>
彼女0.000.910.040.020.020.000.000.000.00
0.000.040.330.060.120.120.270.020.03
ピアノ0.000.000.000.050.730.090.120.000.00
0.000.000.000.000.380.300.300.000.02
十分0.000.000.000.000.110.810.080.000.00
ピアノ0.000.000.000.000.680.280.030.000.00
0.000.000.060.000.790.140.000.000.00
0.000.000.460.000.000.530.000.000.00
0.000.000.950.010.000.030.010.000.00
0.000.000.870.030.040.030.020.000.00
0.000.000.940.020.010.000.010.010.01
</s>0.000.030.360.030.010.030.040.240.26

Inference graph

Sentence 52

Raw input line

i 'm still waiting for my order .

Actual input words

i'mstillwaitingformyorder.

Output words

<unk>

Restored output line

私 は <unk> を 待 っ て い ま す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.495897-0.495897
-0.370437-0.866334
<unk>-2.58645-3.45278
-0.348261-3.80104
-0.141817-3.94286
-0.0899706-4.03283
-0.00333023-4.03616
-0.242684-4.27884
-0.633017-4.91186
-0.445541-5.3574
-0.00152779-5.35893
</s>-0.000135422-5.35907

Attention

<s>i'mstillwaitingformyorder.</s>
0.000.010.020.760.010.000.020.170.000.01
0.000.000.000.000.010.000.070.910.000.00
<unk>0.000.000.000.240.000.000.010.740.000.00
0.000.000.000.000.020.000.050.920.000.00
0.000.000.000.230.660.030.000.080.000.00
0.000.000.010.100.840.030.000.000.000.00
0.000.000.060.600.280.040.000.000.000.01
0.000.000.140.780.070.000.000.000.000.00
0.010.010.340.500.060.030.010.010.020.02
0.000.010.260.710.020.000.000.000.000.00
0.070.040.160.580.080.020.000.000.020.02
</s>0.000.020.100.830.020.010.000.010.010.01

Inference graph

Sentence 53

Raw input line

there are a great many books in this library .

Actual input words

thereareagreatmanybooksinthislibrary.

Output words

この図書たくさん

Restored output line

この 図書 館 に は たくさん の 本 が あ る 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
この-0.0320396-0.0320396
図書-0.0403366-0.0723763
-0.00385666-0.0762329
-0.567948-0.644181
-0.108932-0.753113
たくさん-0.220629-0.973742
-0.536941-1.51068
-0.026475-1.53716
-0.00543118-1.54259
-0.155331-1.69792
-0.493795-2.19171
-0.00391674-2.19563
</s>-8.2016e-05-2.19571

Attention

<s>thereareagreatmanybooksinthislibrary.</s>
この0.000.000.000.000.000.000.000.000.090.910.000.00
図書0.000.000.000.000.000.000.000.000.001.000.000.00
0.000.000.000.010.070.000.000.080.010.560.040.23
0.000.000.000.000.020.000.000.000.030.930.000.01
0.000.010.000.040.810.080.050.010.000.000.000.01
たくさん0.010.060.010.040.700.100.070.000.000.000.000.02
0.000.000.010.010.180.130.590.010.000.060.000.01
0.000.000.000.010.020.070.900.000.000.000.000.00
0.000.000.010.130.470.140.250.000.000.000.000.00
0.000.000.070.140.730.050.010.000.000.000.000.00
0.000.000.250.280.330.020.120.000.000.000.000.01
0.000.000.230.340.300.010.030.000.000.000.040.04
</s>0.000.010.080.350.440.020.060.000.000.000.010.03

Inference graph

Sentence 54

Raw input line

you should avail yourself of every opportunity .

Actual input words

youshouldavailyourselfofeveryopportunity.

Output words

もっと機会利用

Restored output line

君 は もっと 機会 を 利用 す べ き だ 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.00944-1.00944
-0.0051136-1.01455
もっと-1.14813-2.16268
機会-0.102457-2.26514
-0.020978-2.28612
利用-0.0647736-2.35089
-0.051383-2.40227
-0.00247765-2.40475
-0.0067625-2.41151
-0.140719-2.55223
-0.00183868-2.55407
</s>-0.000110626-2.55418

Attention

<s>youshouldavailyourselfofeveryopportunity.</s>
0.000.000.000.000.000.000.060.940.000.00
0.000.000.000.010.010.080.060.830.000.01
もっと0.000.000.000.000.000.000.110.890.000.00
機会0.000.000.000.000.000.020.030.950.000.00
0.000.000.010.210.070.350.150.210.000.00
利用0.000.000.010.930.060.000.000.000.000.00
0.000.000.940.060.000.000.000.000.000.00
0.000.000.880.110.010.000.000.000.000.00
0.000.070.240.080.250.020.020.000.050.26
0.010.080.120.290.280.040.030.000.030.12
0.010.640.070.060.080.020.010.000.040.08
</s>0.010.180.070.040.110.060.060.020.190.26

Inference graph

Sentence 55

Raw input line

how many schools are there in your city ?

Actual input words

howmanyschoolsarethereinyourcity?

Output words

あなた

Restored output line

あなた の 町 に は 何 人 か い ま す か 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
あなた-0.246378-0.246378
-0.00235271-0.248731
-1.42097-1.6697
-0.0282621-1.69796
-0.32886-2.02682
-0.47009-2.49691
-0.814101-3.31101
-0.528358-3.83937
-1.79702-5.63639
-0.0165663-5.65295
-0.0184298-5.67138
-0.00290298-5.67429
-0.000824928-5.67511
</s>-0.000216484-5.67533

Attention

<s>howmanyschoolsarethereinyourcity?</s>
あなた0.000.000.000.000.000.000.000.020.970.000.00
0.000.000.000.010.000.000.000.000.950.000.04
0.000.000.000.000.000.000.000.001.000.000.00
0.000.000.010.160.070.030.070.010.060.010.59
0.000.010.110.810.020.020.000.000.000.010.02
0.000.000.040.750.140.020.010.000.000.000.03
0.000.000.080.770.080.010.010.000.020.000.03
0.000.000.030.700.060.080.020.000.050.010.05
0.000.000.020.900.020.020.000.000.000.000.02
0.000.000.010.920.010.020.000.000.000.020.02
0.000.040.050.160.050.040.000.000.000.590.07
0.000.030.000.000.010.010.000.000.000.920.02
0.000.030.030.200.030.040.000.010.040.040.59
</s>0.000.090.010.050.020.110.000.020.030.620.05

Inference graph

Sentence 56

Raw input line

i don 't like sad movies .

Actual input words

idon'tlikesadmovies.

Output words

映画好き

Restored output line

私 は 映画 が 好き で は な い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.305492-0.305492
-0.00353622-0.309029
映画-1.10684-1.41587
-1.1183-2.53417
好き-0.515427-3.0496
-0.11878-3.16838
-0.0188332-3.18721
-0.087079-3.27429
-0.000562668-3.27485
-0.00476456-3.27962
</s>-0.000139236-3.27976

Attention

<s>idon'tlikesadmovies.</s>
0.000.000.000.000.030.870.100.000.00
0.000.000.000.000.020.640.320.010.01
映画0.000.000.000.000.010.690.300.000.00
0.000.000.000.000.010.550.440.000.00
好き0.000.000.000.000.380.590.030.000.00
0.000.000.010.030.850.040.030.010.02
0.000.010.080.850.040.000.000.000.00
0.010.010.150.580.130.020.020.050.04
0.000.000.210.680.100.000.000.010.01
0.030.070.240.090.080.020.030.260.18
</s>0.010.220.170.030.110.050.120.170.12

Inference graph

Sentence 57

Raw input line

she was very angry with me when i forgot the appointment .

Actual input words

shewasveryangrywithmewheniforgottheappointment.

Output words

約束忘れとき彼女とても

Restored output line

私 が 約束 を 忘れ た とき 彼女 は とても 怒 っ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.558747-0.558747
-0.778848-1.33759
約束-0.366676-1.70427
-0.396946-2.10122
忘れ-0.300533-2.40175
-0.122923-2.52467
とき-0.211345-2.73602
彼女-1.61536-4.35138
-0.0525389-4.40392
とても-0.486499-4.89042
-0.931268-5.82169
-0.00636482-5.82805
-0.107162-5.93521
-0.000677109-5.93589
</s>-0.000205994-5.9361

Attention

<s>shewasveryangrywithmewheniforgottheappointment.</s>
0.000.000.000.000.000.000.010.000.050.010.010.910.000.00
0.000.010.020.000.010.000.030.010.040.350.130.380.010.01
約束0.000.000.000.000.000.000.020.000.070.070.090.730.000.00
0.000.000.000.000.000.000.000.010.010.340.150.490.000.00
忘れ0.000.000.000.010.010.000.000.110.020.630.090.110.000.00
0.000.000.020.000.010.000.010.150.000.220.270.000.150.16
とき0.000.000.010.080.030.010.660.100.000.100.000.000.000.00
彼女0.000.110.030.190.360.050.090.150.000.010.000.000.000.00
0.000.020.010.470.360.020.090.000.000.020.000.000.000.00
とても0.000.000.000.720.270.000.010.000.000.000.000.000.000.00
0.000.000.010.070.870.030.010.000.000.000.000.000.000.00
0.000.000.130.110.670.030.020.000.000.010.000.000.010.02
0.000.000.060.100.730.010.010.010.000.080.000.000.000.00
0.000.010.490.250.120.010.120.000.000.000.000.000.000.00
</s>0.000.020.100.280.500.080.010.010.000.000.000.000.000.00

Inference graph

Sentence 58

Raw input line

people of your age often have this problem .

Actual input words

peopleofyourageoftenhavethisproblem.

Output words

<unk>この問題

Restored output line

君 の 年 の <unk> の 人 は この 問題 が あ る 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.38917-1.38917
-0.00283813-1.39201
-1.24591-2.63791
-0.221062-2.85898
<unk>-3.33197-6.19094
-0.868421-7.05936
-1.3603-8.41966
-0.0741692-8.49383
この-0.612617-9.10645
問題-0.0235205-9.12997
-1.49115-10.6211
-0.48991-11.111
-0.0401592-11.1512
-0.0441246-11.1953
</s>-0.000208855-11.1955

Attention

<s>peopleofyourageoftenhavethisproblem.</s>
0.000.000.000.010.980.010.000.000.000.000.00
0.000.010.010.010.940.000.000.000.030.000.00
0.000.000.000.000.890.110.000.000.000.000.00
0.000.020.010.010.910.000.030.000.010.000.00
<unk>0.000.300.030.030.400.160.010.030.040.000.00
0.000.050.030.010.700.010.140.020.010.020.02
0.000.520.020.010.070.190.050.070.060.000.00
0.000.120.090.010.170.010.490.020.010.030.05
この0.000.040.000.010.010.390.000.520.030.000.00
問題0.000.000.000.000.000.000.010.230.740.000.01
0.000.010.000.000.010.000.570.070.040.060.24
0.000.020.000.000.000.010.950.010.000.000.00
0.000.020.010.000.000.000.710.000.000.120.14
0.010.360.060.030.010.010.080.010.010.250.18
</s>0.000.480.080.060.010.050.200.020.010.040.05

Inference graph

Sentence 59

Raw input line

i like your car .

Actual input words

ilikeyourcar.

Output words

あなた好き

Restored output line

あなた の 車 が 好き だ 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
あなた-0.427198-0.427198
-0.00331306-0.430511
-0.159245-0.589756
-0.380133-0.969889
好き-0.109095-1.07898
-0.852941-1.93192
-0.0220022-1.95393
</s>-0.000370979-1.9543

Attention

<s>ilikeyourcar.</s>
あなた0.000.000.000.890.110.000.00
0.000.000.050.630.310.000.00
0.000.000.000.310.690.000.00
0.000.000.910.030.050.000.01
好き0.000.000.960.010.030.000.00
0.000.000.990.000.000.000.01
0.030.090.620.040.040.060.11
</s>0.020.030.070.010.040.380.44

Inference graph

Sentence 60

Raw input line

she stood looking at a boat on the river .

Actual input words

shestoodlookingataboatontheriver.

Output words

彼女

Restored output line

彼女 は 川 を 船 で 飾 っ て い た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
彼女-0.00317192-0.00317192
-0.012125-0.0152969
-0.295341-0.310638
-0.921943-1.23258
-0.718733-1.95131
-0.371981-2.32329
-1.96953-4.29282
-0.00350761-4.29633
-0.266521-4.56285
-0.184174-4.74702
-0.024889-4.77191
-0.00698662-4.7789
</s>-0.000101089-4.779

Attention

<s>shestoodlookingataboatontheriver.</s>
彼女0.000.490.220.040.040.070.010.010.050.030.010.02
0.000.030.450.060.040.050.040.010.040.260.000.01
0.000.000.000.000.000.000.010.000.170.820.000.00
0.000.000.000.000.000.000.080.020.040.850.000.00
0.000.000.000.090.040.030.650.100.050.040.000.00
0.000.000.030.180.090.020.160.350.070.090.010.01
0.000.000.050.370.250.050.190.070.010.010.000.00
0.000.000.090.470.140.040.250.010.000.000.000.00
0.000.000.120.410.270.050.110.030.000.000.000.00
0.000.010.280.350.250.050.030.000.000.010.000.01
0.000.010.520.070.140.140.020.020.010.000.030.05
0.000.320.400.130.070.020.000.000.000.000.010.02
</s>0.000.200.100.070.090.030.010.050.030.010.260.15

Inference graph

Sentence 61

Raw input line

whether he comes or not , i 'll go .

Actual input words

whetherhecomesornot,i'llgo.

Output words

来るどう

Restored output line

彼 が 来る か どう か 私 は 行 く だ ろ う 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.400118-0.400118
-0.00163651-0.401754
来る-0.922915-1.32467
-0.128386-1.45306
どう-0.408148-1.8612
-0.103496-1.9647
-1.52564-3.49034
-0.130675-3.62101
-0.234274-3.85529
-0.520452-4.37574
-0.380402-4.75614
-0.0162601-4.7724
-0.000743866-4.77314
-0.000890732-4.77404
</s>-0.000299454-4.77433

Attention

<s>whetherhecomesornot,i'llgo.</s>
0.000.030.200.680.030.010.000.040.000.010.000.00
0.000.000.200.770.010.000.000.010.000.000.000.00
来る0.000.000.000.980.000.000.000.020.000.000.000.00
0.000.010.000.850.090.040.010.000.000.000.000.00
どう0.000.160.010.070.010.010.030.500.060.150.000.01
0.000.060.020.010.000.000.000.480.050.340.010.03
0.000.060.000.000.000.000.000.650.030.200.010.02
0.000.010.000.000.000.000.000.210.110.540.060.07
0.000.000.000.000.000.000.000.010.020.960.000.01
0.000.000.000.000.000.000.000.000.350.350.140.16
0.000.000.000.000.000.000.000.000.840.090.030.02
0.000.000.000.000.000.000.000.000.720.110.080.07
0.000.030.000.000.000.000.010.020.740.110.040.04
0.010.060.010.000.040.010.160.030.360.060.150.11
</s>0.000.020.000.000.000.000.000.030.740.130.040.03

Inference graph

Sentence 62

Raw input line

i don 't get up as early as my mother .

Actual input words

idon'tgetupasearlyasmymother.

Output words

起き

Restored output line

母 に は 早 く 起き な い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.128855-0.128855
-1.76066-1.88951
-0.194964-2.08448
-0.800834-2.88531
-0.00201035-2.88732
起き-0.406691-3.29401
-0.826828-4.12084
-0.0299177-4.15076
-0.146364-4.29712
</s>-0.000507355-4.29763

Attention

<s>idon'tgetupasearlyasmymother.</s>
0.000.000.000.000.000.000.000.000.000.000.990.000.00
0.000.020.010.000.010.020.030.030.200.030.610.020.01
0.000.000.000.000.000.010.010.900.050.020.020.000.00
0.000.000.000.000.000.000.010.830.130.010.020.000.00
0.000.000.000.000.000.010.050.890.040.000.010.000.00
起き0.000.000.000.000.010.610.100.230.020.010.010.000.00
0.000.000.000.000.080.520.160.200.030.000.000.000.00
0.000.000.040.600.230.100.010.010.000.000.000.000.00
0.020.060.030.020.400.220.070.000.070.000.040.050.01
</s>0.000.090.300.090.130.250.020.010.020.000.020.040.02

Inference graph

Sentence 63

Raw input line

any flower will do , so long as it is red .

Actual input words

anyflowerwilldo,solongasitisred.

Output words

Restored output line

花 は 高 く な る 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.982154-0.982154
-0.739311-1.72147
-1.91862-3.64009
-0.478468-4.11856
-0.232076-4.35063
-0.383831-4.73446
-2.50622-7.24068
</s>-0.619357-7.86004

Attention

<s>anyflowerwilldo,solongasitisred.</s>
0.000.000.990.000.010.000.000.000.000.000.000.000.000.00
0.000.000.980.010.000.000.000.000.000.000.000.000.000.00
0.000.120.060.090.130.010.300.050.020.080.050.080.000.00
0.000.000.080.020.010.000.000.000.010.010.130.730.000.00
0.000.030.040.030.000.010.570.020.020.030.070.170.000.00
0.000.000.000.000.010.000.010.010.010.070.160.730.000.00
0.000.010.020.040.000.050.380.080.070.040.020.260.010.01
</s>0.000.000.000.010.020.000.130.020.080.040.100.580.000.01

Inference graph

Sentence 64

Raw input line

don 't forget to add me in .

Actual input words

don'tforgettoaddmein.

Output words

忘れ下さ

Restored output line

忘れ ず に 私 を 言 っ て 下さ い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
忘れ-0.19462-0.19462
-0.100162-0.294782
-0.034646-0.329428
-0.491661-0.821089
-0.24386-1.06495
-2.60815-3.6731
-0.467596-4.1407
-0.0267258-4.16743
下さ-0.730905-4.89833
-0.0547972-4.95313
-0.00915432-4.96228
</s>-0.000466347-4.96275

Attention

<s>don'tforgettoaddmein.</s>
忘れ0.000.000.000.090.010.400.410.080.000.00
0.000.000.000.000.010.070.890.010.000.00
0.000.000.010.030.080.170.690.020.000.00
0.000.000.000.020.000.120.850.010.000.00
0.000.000.000.020.010.070.890.000.000.00
0.000.000.000.100.000.860.000.040.000.00
0.000.000.010.020.290.450.170.020.010.03
0.000.010.240.020.370.130.150.010.040.03
下さ0.000.030.100.100.350.230.170.010.000.01
0.000.210.480.120.110.030.020.000.010.01
0.030.370.170.040.180.040.020.020.070.06
</s>0.020.140.050.130.130.180.160.040.070.08

Inference graph

Sentence 65

Raw input line

you are the only one .

Actual input words

youaretheonlyone.

Output words

あなた

Restored output line

あなた の 力 で は な い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
あなた-0.727993-0.727993
-0.755288-1.48328
-2.93071-4.41399
-1.20232-5.61631
-0.458877-6.07519
-0.785027-6.86022
-0.0399246-6.90014
-0.6042-7.50434
</s>-0.00388336-7.50822

Attention

<s>youaretheonlyone.</s>
あなた0.000.010.040.010.850.040.020.03
0.000.010.070.030.530.110.110.13
0.000.000.010.010.360.580.020.01
0.000.000.020.010.940.010.000.01
0.000.000.000.020.940.040.000.00
0.030.030.060.130.650.090.010.01
0.000.010.130.230.450.110.010.05
0.070.190.350.060.060.150.050.06
</s>0.000.090.260.080.410.070.010.07

Inference graph

Sentence 66

Raw input line

i stick to the point .

Actual input words

isticktothepoint.

Output words

そのわか

Restored output line

私 は その 点 が わか る 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.25456-1.25456
-0.133526-1.38809
その-1.43799-2.82608
-0.359403-3.18548
-1.20751-4.39299
わか-1.60283-5.99582
-0.357201-6.35302
-0.0223722-6.37539
</s>-0.000553131-6.37595

Attention

<s>isticktothepoint.</s>
0.000.000.010.010.060.920.000.00
0.000.000.010.010.000.980.000.00
その0.000.000.000.000.030.960.000.00
0.000.000.020.020.000.960.000.00
0.000.000.330.430.000.230.000.01
わか0.000.000.030.350.000.610.000.00
0.000.000.190.520.000.250.010.03
0.000.020.500.160.010.060.120.13
</s>0.000.030.380.040.010.030.220.28

Inference graph

Sentence 67

Raw input line

i 'll be here by monday .

Actual input words

i'llbeherebymonday.

Output words

までここ

Restored output line

五 時 まで に ここ に 来 ま す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-2.14911-2.14911
-0.672021-2.82113
まで-0.110076-2.93121
-0.463602-3.39481
ここ-0.855584-4.2504
-0.0484428-4.29884
-0.928905-5.22775
-0.0453978-5.27314
-0.0270004-5.30014
-0.0145464-5.31469
</s>-0.000696182-5.31539

Attention

<s>i'llbeherebymonday.</s>
0.000.000.000.000.000.001.000.000.00
0.000.000.000.000.000.120.870.000.00
まで0.000.000.000.000.000.950.020.010.01
0.000.000.000.020.960.000.010.000.00
ここ0.000.000.000.050.920.000.010.000.00
0.000.010.080.300.580.010.000.000.00
0.000.000.060.380.560.000.000.000.00
0.000.000.530.430.040.000.000.000.00
0.000.000.580.340.070.010.000.000.00
0.010.040.320.200.050.200.000.120.06
</s>0.000.030.190.160.160.280.000.090.08

Inference graph

Sentence 68

Raw input line

she is the happiest in her class .

Actual input words

sheisthehappiestinherclass.

Output words

彼女クラス一番美し

Restored output line

彼女 は クラス の 中 で 一番 美し い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
彼女-0.00138664-0.00138664
-0.00202751-0.00341415
クラス-0.0306559-0.03407
-0.229307-0.263377
-0.882437-1.14581
-0.0177879-1.1636
一番-0.0102615-1.17386
美し-1.82045-2.99431
-0.00152206-2.99584
-0.460879-3.45672
</s>-0.000563622-3.45728

Attention

<s>sheisthehappiestinherclass.</s>
彼女0.000.470.110.000.000.000.320.080.000.00
0.000.030.750.000.010.000.170.020.000.01
クラス0.000.000.000.000.000.000.040.950.000.00
0.000.000.000.000.050.080.330.500.020.02
0.000.000.000.000.930.040.000.020.000.00
0.000.000.030.030.780.150.010.000.000.01
一番0.000.000.000.000.990.000.000.000.000.00
美し0.000.000.010.010.970.010.000.000.000.00
0.000.000.000.001.000.000.000.000.000.00
0.000.000.040.080.810.050.010.000.010.00
</s>0.000.010.440.020.490.020.000.000.000.00

Inference graph

Sentence 69

Raw input line

how beautiful the rising sun is !

Actual input words

howbeautifultherisingsunis!

Output words

一番美し

Restored output line

何 と 一番 美し い ん だ ろ う 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.46474-1.46474
-0.136068-1.60081
一番-1.4245-3.02531
美し-1.05103-4.07634
-0.024991-4.10133
-1.87184-5.97317
-0.102963-6.07614
-0.232838-6.30897
-0.00166893-6.31064
-0.389379-6.70002
</s>-0.00184155-6.70186

Attention

<s>howbeautifultherisingsunis!</s>
0.000.000.000.000.120.880.000.000.00
0.000.000.050.000.940.010.000.000.00
一番0.000.000.000.000.530.450.020.000.00
美し0.000.000.210.010.750.030.010.000.00
0.000.000.840.000.110.000.040.000.00
0.000.010.210.170.270.240.100.010.00
0.000.070.050.040.010.010.600.200.02
0.000.110.010.020.000.000.410.400.04
0.000.030.010.030.010.030.290.580.01
0.000.080.000.090.010.010.230.570.01
</s>0.000.050.030.030.020.040.180.620.02

Inference graph

Sentence 70

Raw input line

nothing is so precious as time .

Actual input words

nothingissopreciousastime.

Output words

時間ほど大切もの

Restored output line

時間 ほど 大切 な もの は な い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
時間-0.839579-0.839579
ほど-0.676567-1.51615
大切-1.40541-2.92155
-0.00477314-2.92633
もの-0.750216-3.67654
-0.0127497-3.68929
-0.147829-3.83712
-0.000110626-3.83723
-0.00808334-3.84531
</s>-0.00033474-3.84565

Attention

<s>nothingissopreciousastime.</s>
時間0.000.040.000.310.010.080.560.000.00
ほど0.000.010.000.020.130.760.080.000.00
大切0.000.010.000.260.500.140.100.000.00
0.000.010.000.100.660.200.020.000.00
もの0.000.200.460.050.240.020.020.000.01
0.080.100.460.060.160.060.010.020.06
0.000.250.690.020.020.000.010.000.01
0.010.220.580.020.050.030.030.020.05
0.060.090.230.050.100.060.040.220.15
</s>0.010.040.560.050.030.050.050.080.13

Inference graph

Sentence 71

Raw input line

you did not need to come so early .

Actual input words

youdidnotneedtocomesoearly.

Output words

こんなられかっ

Restored output line

こんな に 早 く 来 られ な かっ た よ 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
こんな-0.540994-0.540994
-0.206343-0.747336
-0.0413723-0.788709
-0.00169754-0.790406
-0.866772-1.65718
られ-1.28022-2.9374
-0.109741-3.04714
かっ-0.133495-3.18064
-0.00720215-3.18784
-1.34767-4.53551
-0.0255032-4.56101
</s>-0.00594521-4.56696

Attention

<s>youdidnotneedtocomesoearly.</s>
こんな0.000.000.000.000.000.000.000.940.060.000.00
0.000.000.000.000.000.000.010.170.820.000.00
0.000.000.000.000.000.000.050.110.840.000.00
0.000.000.000.000.010.010.150.120.710.000.00
0.000.000.000.000.010.010.810.140.030.000.00
られ0.000.000.000.000.070.660.260.000.010.000.00
0.000.000.000.250.540.170.030.000.000.000.00
かっ0.000.000.010.800.140.040.010.000.000.000.00
0.190.120.310.020.090.110.030.010.000.080.04
0.010.460.180.060.120.060.040.000.000.030.02
0.040.540.060.080.050.060.060.010.010.050.04
</s>0.020.500.140.020.040.060.040.000.000.090.07

Inference graph

Sentence 72

Raw input line

i had some questions and raised my hand .

Actual input words

ihadsomequestionsandraisedmyhand.

Output words

質問しま

Restored output line

何 か 質問 も し て しま っ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.17124-1.17124
-0.240197-1.41144
質問-1.34891-2.76034
-1.05662-3.81696
-0.77653-4.59349
-0.083003-4.6765
しま-1.80953-6.48602
-0.0707579-6.55678
-0.0120468-6.56883
-0.00232983-6.57116
</s>-0.000210762-6.57137

Attention

<s>ihadsomequestionsandraisedmyhand.</s>
0.000.000.000.000.980.010.000.000.010.000.00
0.000.010.010.010.840.110.020.010.000.000.00
質問0.000.000.010.380.440.050.090.000.030.000.00
0.000.000.010.250.070.060.460.060.090.000.00
0.000.000.050.750.020.010.160.000.010.000.00
0.000.000.110.500.000.030.250.020.040.010.03
しま0.000.000.120.160.000.120.300.150.080.010.05
0.000.000.040.060.000.010.310.190.310.030.05
0.000.010.190.580.000.000.110.010.010.050.03
0.000.000.440.380.000.010.120.020.000.010.02
</s>0.010.050.030.050.000.060.510.040.100.080.08

Inference graph

Sentence 73

Raw input line

she expressed satisfaction with her life .

Actual input words

sheexpressedsatisfactionwithherlife.

Output words

彼女自分人生満足

Restored output line

彼女 は 自分 の 人生 に 満足 し て い る 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
彼女-0.000452042-0.000452042
-0.000225067-0.000677109
自分-0.32266-0.323338
-0.0319614-0.355299
人生-0.196426-0.551725
-0.264729-0.816455
満足-0.313138-1.12959
-0.133079-1.26267
-0.273687-1.53636
-0.108803-1.64516
-0.237749-1.88291
-0.799339-2.68225
</s>-0.000101089-2.68235

Attention

<s>sheexpressedsatisfactionwithherlife.</s>
彼女0.000.430.250.040.030.130.100.010.01
0.000.010.900.060.000.010.020.000.00
自分0.000.000.000.000.000.080.920.000.00
0.000.000.000.040.030.210.710.010.01
人生0.000.000.000.000.000.000.990.000.00
0.000.000.010.270.620.050.060.000.00
満足0.000.000.000.990.010.000.000.000.00
0.000.000.050.910.040.000.000.000.00
0.000.000.380.610.010.000.000.000.00
0.000.010.740.250.000.000.000.000.00
0.000.000.860.120.000.000.000.010.01
0.000.010.970.010.000.000.000.000.00
</s>0.000.000.930.040.010.000.000.000.01

Inference graph

Sentence 74

Raw input line

it was around eight last night when the meeting broke up .

Actual input words

itwasaroundeightlastnightwhenthemeetingbrokeup.

Output words

会議起き

Restored output line

会議 が 起き た 時 は 8 時 の 間 で す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
会議-0.894378-0.894378
-0.769205-1.66358
起き-1.62645-3.29004
-0.179296-3.46933
-0.768423-4.23776
-0.436798-4.67455
-0.810696-5.48525
-0.131891-5.61714
-0.88661-6.50375
-2.07335-8.5771
-0.798527-9.37562
-0.542691-9.91832
-0.00432014-9.92264
</s>-0.000393867-9.92303

Attention

<s>itwasaroundeightlastnightwhenthemeetingbrokeup.</s>
会議0.000.000.000.000.000.000.010.000.000.980.000.000.000.00
0.000.000.000.000.000.000.000.000.000.960.020.010.000.00
起き0.000.000.000.010.020.000.000.000.000.040.640.290.000.00
0.000.000.000.010.010.000.000.000.000.010.370.530.020.03
0.000.010.040.150.260.090.090.250.010.030.040.020.000.00
0.000.000.020.200.620.090.020.010.000.000.000.010.000.00
0.000.000.000.040.940.010.000.000.000.000.000.000.000.00
0.000.000.010.080.800.000.000.000.000.000.050.050.000.00
0.000.000.020.290.070.010.000.060.000.000.180.350.000.02
0.000.000.040.630.320.000.000.000.000.000.000.000.000.00
0.000.000.230.490.270.000.000.000.000.000.000.000.000.00
0.000.000.270.520.190.010.000.000.000.000.000.010.000.00
0.000.000.450.180.020.010.010.010.000.000.110.060.030.12
</s>0.000.010.250.240.090.070.090.030.020.000.050.100.010.02

Inference graph

Sentence 75

Raw input line

the life of a person is a transient thing .

Actual input words

thelifeofapersonisa<unk>thing.

Output words

<unk>もの

Restored output line

悪 い 人 の 人 は <unk> な もの だ 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-2.96658-2.96658
-0.0165348-2.98311
-0.951097-3.93421
-0.954583-4.88879
-1.70796-6.59675
-0.12191-6.71866
<unk>-1.29167-8.01033
-1.06997-9.0803
もの-0.643952-9.72426
-0.216892-9.94115
-0.0075779-9.94873
</s>-0.000411034-9.94914

Attention

<s>thelifeofapersonisa<unk>thing.</s>
0.000.000.710.000.040.240.000.000.000.000.000.00
0.000.000.460.010.030.500.000.000.000.000.000.00
0.000.000.100.040.030.820.000.000.000.010.000.00
0.000.010.040.060.040.240.470.040.040.050.000.00
0.000.000.020.000.010.180.050.010.620.110.000.00
0.000.000.000.000.000.000.190.230.430.120.010.02
<unk>0.000.000.000.000.000.000.000.000.960.040.000.00
0.000.000.000.000.000.000.000.000.930.070.000.00
もの0.000.000.000.000.000.000.010.040.180.770.000.01
0.000.000.000.000.000.000.260.280.090.270.050.04
0.000.000.000.000.000.000.180.120.190.390.050.06
</s>0.000.000.000.000.000.000.080.080.210.540.050.04

Inference graph

Sentence 76

Raw input line

don 't raise my hopes like that .

Actual input words

don'traisemyhopeslikethat.

Output words

そんなこと

Restored output line

そんな こと を し な い で 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
そんな-1.60406-1.60406
こと-0.770206-2.37427
-1.45808-3.83235
-0.653188-4.48554
-0.172907-4.65844
-0.00373745-4.66218
-0.116015-4.7782
-2.21105-6.98924
</s>-0.0175028-7.00675

Attention

<s>don'traisemyhopeslikethat.</s>
そんな0.000.000.000.020.520.050.210.190.000.00
こと0.000.000.000.050.310.220.350.060.000.00
0.000.000.000.070.080.710.130.000.000.00
0.000.000.000.780.080.040.100.000.000.00
0.000.000.470.180.010.040.280.000.000.01
0.000.030.780.070.030.010.050.020.000.00
0.070.220.160.330.030.030.100.020.010.02
0.000.030.020.810.090.010.020.010.000.00
</s>0.020.340.270.320.010.000.020.000.010.01

Inference graph

Sentence 77

Raw input line

they won by force of numbers .

Actual input words

theywonbyforceof<unk>.

Output words

みな<unk>

Restored output line

彼 ら は みな <unk> で 勝 っ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0133991-0.0133991
-0.00256538-0.0159645
-0.0137262-0.0296907
みな-1.43395-1.46364
<unk>-2.53227-3.99592
-1.50676-5.50268
-1.16105-6.66372
-0.166058-6.82978
-0.00281525-6.8326
-0.00358963-6.83619
</s>-0.000135422-6.83632

Attention

<s>theywonbyforceof<unk>.</s>
0.000.650.040.020.070.050.150.010.01
0.000.080.290.110.120.200.090.030.08
0.000.040.010.000.130.020.790.000.00
みな0.000.000.010.000.080.020.890.000.00
<unk>0.000.000.000.000.090.340.570.000.00
0.000.000.070.030.300.230.380.000.00
0.000.000.950.020.030.000.000.000.00
0.000.000.920.040.030.000.000.000.01
0.000.000.560.350.060.010.000.000.02
0.000.010.840.040.070.010.000.010.02
</s>0.020.070.420.150.200.020.010.030.08

Inference graph

Sentence 78

Raw input line

i was eating dinner then .

Actual input words

iwaseatingdinnerthen.

Output words

その夕食食べ

Restored output line

私 は その 時 、 夕食 を 食べ ま し た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.314128-0.314128
-0.00139427-0.315522
その-0.21081-0.526332
-0.357656-0.883988
-0.904848-1.78884
夕食-0.8813-2.67014
-0.195777-2.86591
食べ-0.543-3.40891
-0.36235-3.77126
-0.540003-4.31127
-0.00109673-4.31236
-0.000387192-4.31275
</s>-0.0001297-4.31288

Attention

<s>iwaseatingdinnerthen.</s>
0.000.000.000.000.010.990.000.00
0.000.010.000.020.210.740.010.01
その0.000.000.000.000.010.990.000.00
0.000.000.000.010.070.930.000.00
0.010.000.010.170.480.310.010.01
夕食0.000.010.000.450.440.090.000.00
0.000.000.000.610.370.010.000.01
食べ0.000.000.000.960.030.000.000.00
0.000.000.100.890.000.000.000.01
0.000.000.490.500.000.000.000.00
0.020.030.560.170.010.000.080.13
0.030.100.290.320.050.000.090.12
</s>0.100.310.130.050.040.010.190.18

Inference graph

Sentence 79

Raw input line

it 's hot today .

Actual input words

it'shottoday.

Output words

今日

Restored output line

今日 は 暑 い で す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
今日-0.0155077-0.0155077
-0.0227594-0.0382671
-0.047183-0.0854502
-0.0820904-0.167541
-0.0544395-0.22198
-0.0194216-0.241402
-0.178659-0.420061
</s>-0.00358677-0.423648

Attention

<s>it'shottoday.</s>
今日0.000.000.000.001.000.000.00
0.000.000.020.970.000.000.00
0.000.010.000.980.000.000.00
0.000.000.010.980.000.000.01
0.040.020.380.190.120.120.11
0.010.050.290.310.170.070.11
0.020.080.280.210.210.090.11
</s>0.010.070.190.220.350.040.12

Inference graph

Sentence 80

Raw input line

he is a detective .

Actual input words

heisa<unk>.

Output words

<unk>

Restored output line

彼 は <unk> 家 だ 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0168571-0.0168571
-0.00814247-0.0249996
<unk>-0.455986-0.480986
-0.471157-0.952143
-0.58096-1.5331
-0.000753403-1.53386
</s>-0.000310898-1.53417

Attention

<s>heisa<unk>.</s>
0.000.060.040.010.870.000.01
0.000.030.820.030.110.000.00
<unk>0.000.000.000.001.000.000.00
0.000.000.000.010.990.000.00
0.000.000.090.370.380.020.14
0.010.000.300.210.030.050.41
</s>0.010.070.170.330.100.070.26

Inference graph

Sentence 81

Raw input line

he always takes sides with her .

Actual input words

healwaystakessideswithher.

Output words

いつ彼女付き合

Restored output line

彼 は いつ も 彼女 と 付き合 っ て い る 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.00343704-0.00343704
-0.00314713-0.00658417
いつ-0.0150194-0.0216036
-0.00445747-0.0260611
彼女-0.00626945-0.0323305
-1.07393-1.10626
付き合-2.28848-3.39474
-0.320506-3.71525
-0.00609779-3.72134
-0.00981712-3.73116
-0.0276279-3.75879
-0.000787735-3.75958
</s>-4.76837e-05-3.75962

Attention

<s>healwaystakessideswithher.</s>
0.000.180.570.020.010.010.190.010.01
0.000.060.540.050.010.010.310.010.01
いつ0.000.010.750.000.000.000.240.000.00
0.030.040.030.000.040.070.780.000.00
彼女0.000.000.000.000.000.001.000.000.00
0.000.000.000.000.010.000.990.000.00
付き合0.000.000.000.070.880.040.000.000.00
0.000.000.000.360.590.040.000.000.00
0.020.000.000.530.300.070.010.030.04
0.000.000.010.340.530.040.040.010.02
0.000.000.010.590.330.020.000.020.02
0.040.000.020.410.230.100.010.120.08
</s>0.000.000.010.260.310.160.060.100.10

Inference graph

Sentence 82

Raw input line

jane always made out that she was very rich .

Actual input words

janealwaysmadeoutthatshewasveryrich.

Output words

ジェーンいつとても金持ちだっ

Restored output line

ジェーン は いつ も とても 金持ち だっ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
ジェーン-0.0582027-0.0582027
-0.00229645-0.0604992
いつ-0.161378-0.221877
-0.0533962-0.275273
とても-1.05206-1.32733
金持ち-0.327544-1.65488
だっ-0.843771-2.49865
-0.00451374-2.50316
-0.204162-2.70732
</s>-0.00650978-2.71383

Attention

<s>janealwaysmadeoutthatshewasveryrich.</s>
ジェーン0.000.990.010.000.000.000.000.000.000.000.000.00
0.000.030.810.060.010.000.010.060.000.000.000.01
いつ0.000.030.910.000.000.000.000.000.060.000.000.00
0.000.010.000.000.000.000.010.180.160.640.000.00
とても0.000.000.010.000.010.010.030.040.730.170.000.00
金持ち0.000.000.000.000.000.000.060.190.060.680.000.01
だっ0.000.000.000.000.000.000.030.590.060.310.000.01
0.000.000.090.180.430.070.010.060.100.060.000.00
0.000.000.180.100.230.240.060.150.010.010.010.01
</s>0.000.000.030.190.600.120.020.020.010.010.000.00

Inference graph

Sentence 83

Raw input line

what a bad boy he is !

Actual input words

whatabadboyheis!

Output words

なん少年

Restored output line

彼 は なん と い な 少年 な の だ ろ う 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.555287-0.555287
-0.0343409-0.589628
なん-0.926043-1.51567
-0.556178-2.07185
-0.629295-2.70114
-0.355593-3.05674
少年-1.804-4.86073
-0.00957584-4.87031
-0.305161-5.17547
-0.621372-5.79684
-0.0364256-5.83327
-0.00779343-5.84106
-0.0276918-5.86875
</s>-0.00144768-5.8702

Attention

<s>whatabadboyheis!</s>
0.000.040.070.690.020.090.080.010.01
0.000.010.010.470.030.410.070.000.00
なん0.000.000.000.990.000.000.010.000.00
0.000.000.000.980.010.000.000.000.00
0.000.000.000.430.530.010.020.000.00
0.000.000.010.710.170.030.070.000.01
少年0.000.000.000.010.970.010.000.000.00
0.000.010.000.000.760.140.070.010.00
0.000.000.000.000.100.130.150.590.03
0.000.020.000.000.740.100.030.120.00
0.000.070.000.000.100.140.080.590.01
0.000.070.000.000.370.080.110.360.01
0.000.250.010.000.390.120.070.150.01
</s>0.000.050.010.000.630.060.070.180.01

Inference graph

Sentence 84

Raw input line

he is what we call the man of the hour .

Actual input words

heiswhatwecallthemanofthehour.

Output words

いつその

Restored output line

彼 は いつ も その 男 を 呼 ん で い る 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.153285-0.153285
-0.509165-0.66245
いつ-1.51794-2.18039
-0.606133-2.78652
その-0.691747-3.47827
-1.69321-5.17148
-0.313266-5.48475
-1.82339-7.30814
-0.935935-8.24407
-0.401108-8.64518
-0.161863-8.80704
-0.00211716-8.80916
-0.95399-9.76315
</s>-0.000220299-9.76337

Attention

<s>heiswhatwecallthemanofthehour.</s>
0.000.000.000.000.010.000.000.020.000.020.950.000.00
0.000.010.080.000.050.100.010.420.120.010.190.000.01
いつ0.000.000.000.000.320.020.000.220.020.150.260.000.00
0.000.000.000.000.010.020.000.460.190.100.230.000.00
その0.000.000.000.000.000.010.000.890.030.000.060.000.00
0.000.000.000.000.030.080.000.610.140.010.120.000.00
0.000.000.000.000.010.210.010.100.670.000.000.000.00
0.000.000.000.000.000.920.030.020.020.000.010.000.00
0.000.000.000.000.000.980.010.000.000.000.000.000.00
0.000.000.050.290.090.540.010.000.010.000.000.000.01
0.000.020.130.810.020.010.000.000.000.000.000.000.00
0.010.020.260.320.040.220.030.020.020.000.010.020.03
0.010.050.230.610.020.040.000.010.010.000.000.010.01
</s>0.000.020.060.880.020.000.000.000.000.000.000.000.00

Inference graph

Sentence 85

Raw input line

in fact , he is a nice fellow .

Actual input words

infact,heisanicefellow.

Output words

やつ

Restored output line

実 は 彼 は い い やつ だ 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.234302-0.234302
-0.0718899-0.306191
-0.449464-0.755655
-0.785524-1.54118
-0.17347-1.71465
-0.00132847-1.71598
やつ-1.56975-3.28573
-0.156075-3.4418
-0.232701-3.67451
</s>-0.00566578-3.68017

Attention

<s>infact,heisanicefellow.</s>
0.000.001.000.000.000.000.000.000.000.000.00
0.000.000.140.000.680.180.010.000.000.000.00
0.000.020.010.000.820.020.010.110.010.000.00
0.000.000.000.000.270.410.010.270.040.000.00
0.000.000.000.000.000.000.001.000.000.000.00
0.000.000.000.000.000.010.000.900.090.000.00
やつ0.000.000.000.000.070.010.000.330.580.000.00
0.000.000.000.000.580.150.140.060.070.000.00
0.000.000.000.000.000.020.090.490.370.010.02
</s>0.000.000.000.020.130.040.120.160.500.010.01

Inference graph

Sentence 86

Raw input line

where does the answer lie ?

Actual input words

wheredoestheanswerlie?

Output words

その答えどう

Restored output line

その 答え は どう な り ま す か 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
その-0.797207-0.797207
答え-1.2901-2.08731
-0.0427065-2.13001
どう-0.171697-2.30171
-0.48167-2.78338
-1.19555-3.97892
-0.0184689-3.99739
-0.141088-4.13848
-0.00626755-4.14475
-0.000452042-4.1452
</s>-9.53674e-05-4.1453

Attention

<s>wheredoestheanswerlie?</s>
その0.000.010.000.000.980.010.000.00
答え0.000.000.000.000.850.140.000.00
0.000.000.000.000.010.980.000.01
どう0.000.010.000.000.110.830.030.02
0.000.000.000.000.020.870.010.10
0.000.000.020.000.000.340.330.30
0.000.000.010.000.000.370.400.21
0.000.000.000.000.000.020.880.09
0.000.000.000.000.000.000.980.01
0.000.030.060.010.020.370.140.37
</s>0.000.020.030.010.000.040.770.13

Inference graph

Sentence 87

Raw input line

you may as well prepare for your examination .

Actual input words

youmayaswellprepareforyourexamination.

Output words

試験準備ほう

Restored output line

試験 の 準備 を し た ほう が い い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
試験-0.296503-0.296503
-1.05064-1.34714
準備-0.13701-1.48415
-1.00521-2.48936
-0.598362-3.08772
-0.119816-3.20753
ほう-0.7466-3.95413
-0.00165367-3.95579
-0.422201-4.37799
-0.0034256-4.38142
-0.458851-4.84027
</s>-0.000481606-4.84075

Attention

<s>youmayaswellprepareforyourexamination.</s>
試験0.000.000.000.000.000.000.000.010.990.000.00
0.000.000.000.000.000.040.020.250.670.000.00
準備0.000.000.000.000.050.680.130.100.040.000.00
0.000.000.000.000.280.400.120.020.020.010.15
0.000.000.000.020.320.620.030.000.000.000.00
0.000.000.000.040.320.460.140.000.000.020.02
ほう0.000.010.070.030.600.270.020.000.000.000.00
0.010.040.040.280.550.060.010.000.000.010.01
0.010.020.020.170.640.110.020.000.000.000.01
0.000.030.440.080.200.150.020.010.000.030.03
0.020.090.570.150.090.010.010.000.000.030.02
</s>0.010.240.280.170.100.020.030.010.000.070.06

Inference graph

Sentence 88

Raw input line

i can 't see well .

Actual input words

ican'tseewell.

Output words

よく見え

Restored output line

私 は よく 見え ま せ ん 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-1.23728-1.23728
-0.361423-1.5987
よく-1.49651-3.09521
見え-1.2602-4.35541
-0.759669-5.11508
-0.030777-5.14586
-0.0018158-5.14768
-0.0143385-5.16201
</s>-0.000565529-5.16258

Attention

<s>ican'tseewell.</s>
0.000.000.010.000.110.870.000.00
0.000.010.100.050.320.480.020.02
よく0.000.000.000.000.080.920.000.00
見え0.000.000.080.010.660.230.000.01
0.000.000.210.070.410.260.010.03
0.000.000.050.930.000.000.000.00
0.060.070.210.470.010.010.120.06
0.010.030.200.590.010.010.090.05
</s>0.010.100.210.330.020.050.150.13

Inference graph

Sentence 89

Raw input line

can we rent a car ?

Actual input words

canwerentacar?

Output words

借りられ

Restored output line

車 を 借り られ ま す か 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.443535-0.443535
-0.159308-0.602843
借り-0.642119-1.24496
られ-1.23073-2.4757
-0.0852051-2.5609
-0.00779724-2.5687
-0.0351429-2.60384
-0.0144987-2.61834
</s>-0.000297546-2.61864

Attention

<s>canwerentacar?</s>
0.000.000.000.130.010.850.000.00
0.000.000.030.270.220.440.000.04
借り0.000.000.010.950.040.000.000.00
られ0.010.440.130.380.010.000.000.02
0.000.960.020.010.000.000.010.00
0.000.840.040.000.000.000.100.01
0.010.100.020.000.000.000.860.01
0.020.080.040.040.150.130.250.28
</s>0.030.170.080.050.070.240.120.25

Inference graph

Sentence 90

Raw input line

a wise man would not say such a thing .

Actual input words

awisemanwouldnotsaysuchathing.

Output words

どんなならそんなことしょ

Restored output line

どんな 人 なら そんな こと は 言 わ な い で しょ う 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
どんな-1.93669-1.93669
-1.45169-3.38838
なら-0.598046-3.98642
そんな-0.0459032-4.03233
こと-0.546663-4.57899
-0.220035-4.79903
-0.140942-4.93997
-0.273568-5.21354
-0.00424957-5.21778
-0.0431633-5.26095
-0.477927-5.73888
しょ-0.210017-5.94889
-0.00392628-5.95282
-0.0210047-5.97382
</s>-0.000209808-5.97403

Attention

<s>awisemanwouldnotsaysuchathing.</s>
どんな0.000.010.850.120.000.000.000.010.000.000.000.00
0.000.000.720.230.010.000.010.010.010.010.000.00
なら0.000.010.130.070.070.010.130.190.200.170.010.02
そんな0.000.000.000.000.000.000.060.890.010.030.000.00
こと0.000.000.000.010.000.000.420.230.140.190.000.00
0.000.000.000.000.000.000.770.120.040.060.000.00
0.000.000.000.000.000.000.980.020.000.000.000.00
0.000.000.000.000.000.040.910.000.020.010.010.01
0.000.000.000.010.150.210.520.000.020.020.030.03
0.000.000.000.000.080.600.190.000.020.050.020.03
0.000.010.000.040.760.040.030.000.040.020.030.02
しょ0.000.030.020.020.440.030.220.010.060.060.050.05
0.010.030.010.010.560.040.050.000.090.100.060.05
0.000.010.000.010.300.080.210.000.120.140.080.06
</s>0.000.030.020.030.150.090.360.030.070.080.070.07

Inference graph

Sentence 91

Raw input line

he told me that she was sick .

Actual input words

hetoldmethatshewassick.

Output words

病気

Restored output line

彼 は 病気 だ と 言 っ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.055213-0.055213
-0.0511122-0.106325
病気-0.131083-0.237409
-1.10746-1.34487
-0.0107079-1.35558
-1.13312-2.4887
-0.0467167-2.53541
-0.19282-2.72823
-0.0839701-2.8122
</s>-0.00126934-2.81347

Attention

<s>hetoldmethatshewassick.</s>
0.000.050.060.080.040.270.050.430.010.01
0.000.000.250.310.000.140.150.130.000.00
病気0.000.000.000.330.000.010.000.660.000.00
0.000.000.000.200.000.090.570.140.000.00
0.010.000.080.200.100.050.350.190.000.00
0.010.040.410.200.160.090.020.050.000.00
0.000.070.210.430.040.160.020.060.000.00
0.000.010.670.090.020.020.060.020.080.03
0.000.010.350.530.040.040.010.020.000.00
</s>0.010.280.180.390.090.030.000.000.000.00

Inference graph

Sentence 92

Raw input line

there was nobody in the garden .

Actual input words

therewasnobodyinthegarden.

Output words

かっ

Restored output line

庭 に は 誰 も い な かっ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0919037-0.0919037
-0.0340118-0.125916
-0.013442-0.139358
-0.635001-0.774359
-0.0121689-0.786528
-0.193556-0.980083
-0.0299377-1.01002
かっ-0.0100002-1.02002
-0.00028801-1.02031
-0.000705719-1.02102
</s>-7.24792e-05-1.02109

Attention

<s>therewasnobodyinthegarden.</s>
0.000.000.000.000.000.001.000.000.00
0.000.000.000.010.030.000.940.000.01
0.000.000.000.960.020.010.010.000.00
0.000.000.010.940.020.000.010.000.00
0.010.000.030.820.100.020.020.000.01
0.000.000.000.990.000.000.000.000.00
0.000.000.070.910.010.000.000.000.00
かっ0.000.000.070.920.010.000.000.000.00
0.010.000.240.540.010.010.000.090.08
0.010.100.210.290.040.040.010.120.18
</s>0.020.110.290.270.040.040.020.090.13

Inference graph

Sentence 93

Raw input line

our college is far from the station .

Actual input words

ourcollegeisfarfromthestation.

Output words

たち学校から

Restored output line

私 たち の 学校 は 駅 から 遠 い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.353837-0.353837
たち-0.367959-0.721796
-0.0321226-0.753919
学校-0.523723-1.27764
-0.0196571-1.2973
-0.389699-1.687
から-0.0248175-1.71181
-0.0435314-1.75535
-0.670992-2.42634
-0.0112629-2.4376
</s>-0.00119305-2.43879

Attention

<s>ourcollegeisfarfromthestation.</s>
0.000.830.170.000.000.000.000.000.000.00
たち0.000.790.060.120.000.020.000.000.000.00
0.000.540.460.000.000.000.000.000.000.00
学校0.000.210.780.000.000.000.000.000.000.00
0.000.090.010.650.090.100.040.010.000.01
0.000.000.000.000.040.010.020.930.000.00
から0.000.000.000.000.020.970.000.010.000.00
0.000.000.000.000.950.040.000.000.000.00
0.000.000.000.010.980.010.000.000.000.00
0.020.000.030.410.340.030.040.070.020.04
</s>0.010.010.000.240.350.170.090.060.020.04

Inference graph

Sentence 94

Raw input line

he had been writing a letter .

Actual input words

hehadbeenwritingaletter.

Output words

手紙

Restored output line

彼 は 手紙 を 書 い て い た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.00209999-0.00209999
-0.00614548-0.00824547
手紙-0.0649996-0.073245
-0.0100212-0.0832663
-0.0142736-0.0975399
-0.444879-0.542418
-0.0486479-0.591066
-0.113432-0.704498
-0.121288-0.825787
-0.710617-1.5364
</s>-0.000575066-1.53698

Attention

<s>hehadbeenwritingaletter.</s>
0.000.110.050.700.040.050.050.000.00
0.000.060.090.700.070.070.010.000.00
手紙0.000.000.000.050.250.100.590.000.00
0.000.000.000.010.320.210.450.000.00
0.000.000.000.000.990.010.000.000.00
0.000.000.010.070.850.030.000.010.03
0.000.000.030.520.360.040.010.010.03
0.010.010.280.680.000.000.010.000.00
0.010.020.240.590.010.080.030.010.01
0.020.050.540.380.000.000.000.000.00
</s>0.120.130.090.220.000.020.010.150.26

Inference graph

Sentence 95

Raw input line

he spoke to her about the matter .

Actual input words

hespoketoheraboutthematter.

Output words

その問題彼女

Restored output line

彼 は その 問題 で 彼女 に 話 し た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0155249-0.0155249
-0.0982695-0.113794
その-0.0690708-0.182865
問題-0.969196-1.15206
-1.51408-2.66614
彼女-0.278059-2.9442
-0.0772848-3.02148
-0.655181-3.67666
-0.414183-4.09084
-0.129055-4.2199
-0.00053978-4.22044
</s>-0.000154495-4.22059

Attention

<s>hespoketoheraboutthematter.</s>
0.000.060.110.030.220.010.020.520.010.02
0.000.020.160.000.640.000.000.170.000.00
その0.000.000.000.000.150.000.000.850.000.00
問題0.000.000.000.000.010.000.000.980.000.00
0.000.000.000.000.140.750.080.030.000.00
彼女0.000.000.030.020.950.010.000.000.000.00
0.000.000.010.010.970.000.000.010.000.00
0.000.000.490.120.120.260.000.000.000.00
0.000.010.250.160.340.200.010.020.010.01
0.000.010.680.260.040.010.000.000.000.00
0.000.080.170.530.180.000.000.000.010.02
</s>0.000.210.040.300.250.010.020.000.090.08

Inference graph

Sentence 96

Raw input line

let me see it .

Actual input words

letmeseeit.

Output words

それ見せくださ

Restored output line

それ を 見せ て くださ い 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
それ-0.759933-0.759933
-0.0624552-0.822388
見せ-0.16845-0.990838
-0.0180311-1.00887
くださ-1.03441-2.04328
-0.0026474-2.04592
-0.00174904-2.04767
</s>-0.000951767-2.04862

Attention

<s>letmeseeit.</s>
それ0.000.000.140.600.260.000.00
0.000.010.340.570.070.010.01
見せ0.000.000.270.730.000.000.00
0.000.020.710.250.000.010.01
くださ0.000.060.870.040.010.000.01
0.000.180.710.040.010.030.04
0.040.280.120.030.080.230.22
</s>0.010.160.430.020.060.130.20

Inference graph

Sentence 97

Raw input line

he sat there with his eyes closed .

Actual input words

hesattherewithhiseyesclosed.

Output words

閉じそこ

Restored output line

彼 は 目 を 閉じ て そこ に 座 っ た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.157628-0.157628
-0.0232697-0.180898
-0.0593243-0.240222
-0.0304689-0.270691
閉じ-0.10814-0.378831
-0.590662-0.969493
そこ-0.543386-1.51288
-0.169996-1.68288
-0.799324-2.4822
-0.00632095-2.48852
-0.225143-2.71366
-0.00272369-2.71639
</s>-0.000430107-2.71682

Attention

<s>hesattherewithhiseyesclosed.</s>
0.000.010.010.020.000.060.890.010.000.00
0.000.060.130.050.030.160.510.060.000.00
0.000.000.000.000.000.001.000.000.000.00
0.000.000.000.000.000.000.790.200.000.00
閉じ0.000.000.000.000.000.000.060.940.000.00
0.000.000.000.000.000.000.020.950.000.02
そこ0.000.010.070.860.050.000.000.000.000.00
0.000.030.190.690.050.000.010.010.000.02
0.000.000.860.140.000.000.000.000.000.00
0.000.010.890.070.000.000.010.010.000.00
0.000.000.830.080.030.000.000.030.010.01
0.000.060.690.240.010.000.000.000.000.00
</s>0.010.150.180.600.040.000.000.010.000.01

Inference graph

Sentence 98

Raw input line

you should work hard while you are young .

Actual input words

youshouldworkhardwhileyouareyoung.

Output words

とき一生懸命

Restored output line

若 い とき は 一生 懸命 働 く べ き だ 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0443821-0.0443821
-0.00801086-0.052393
とき-1.58337-1.63576
-0.350863-1.98663
一生-0.672319-2.65895
懸命-0.0237837-2.68273
-1.07111-3.75384
-0.302662-4.0565
-0.299028-4.35553
-0.0116425-4.36718
-0.591311-4.95849
-0.100112-5.0586
</s>-0.00025177-5.05885

Attention

<s>youshouldworkhardwhileyouareyoung.</s>
0.000.000.000.000.000.000.000.010.990.000.00
0.000.000.000.000.010.020.170.560.210.010.01
とき0.000.000.000.010.010.500.190.130.120.030.01
0.000.000.000.030.290.170.320.170.020.000.00
一生0.000.000.000.110.840.000.010.010.030.000.00
懸命0.000.000.010.040.500.030.050.160.200.000.00
0.000.000.010.270.660.020.000.030.020.000.00
0.000.000.020.410.550.000.000.010.000.000.00
0.000.000.920.030.020.000.000.010.000.000.00
0.000.000.350.150.420.010.010.020.000.010.03
0.000.080.440.060.170.070.010.070.000.040.05
0.000.520.140.040.070.020.090.040.000.030.05
</s>0.000.170.090.000.000.060.110.240.000.140.19

Inference graph

Sentence 99

Raw input line

he made an abrupt departure .

Actual input words

hemadeanabruptdeparture.

Output words

<unk>出発

Restored output line

彼 は <unk> を 出発 し た 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
-0.0016613-0.0016613
-0.00523758-0.00689888
<unk>-1.93829-1.94519
-0.30965-2.25484
出発-0.990884-3.24572
-0.00291634-3.24864
-0.0451145-3.29376
-0.000652313-3.29441
</s>-6.10352e-05-3.29447

Attention

<s>hemadeanabruptdeparture.</s>
0.000.140.100.060.420.240.010.01
0.000.030.540.250.060.100.010.01
<unk>0.000.000.000.000.930.070.000.00
0.000.000.000.010.720.270.000.00
出発0.000.000.220.200.030.530.000.00
0.000.000.780.100.030.000.020.06
0.000.010.820.090.000.000.030.05
0.010.080.740.100.020.000.020.03
</s>0.050.400.170.130.010.030.090.11

Inference graph

Sentence 100

Raw input line

this is how the accident happened .

Actual input words

thisishowtheaccidenthappened.

Output words

この事故起こ

Restored output line

この 事故 は 起こ っ た の で す 。

Word probabilities

Wordlog P(word)Accumulated log P(word)
この-0.625345-0.625345
事故-0.0841761-0.709521
-0.33383-1.04335
起こ-0.215183-1.25853
-0.189495-1.44803
-0.0919275-1.53996
-0.729607-2.26956
-0.740083-3.00965
-0.0856113-3.09526
-0.00108528-3.09634
</s>-0.000253677-3.0966

Attention

<s>thisishowtheaccidenthappened.</s>
この0.000.510.070.010.000.210.180.010.01
事故0.000.060.130.070.010.630.040.020.03
0.000.000.010.020.040.480.350.030.07
起こ0.000.000.000.010.000.130.840.000.00
0.000.000.000.000.000.120.800.020.06
0.000.000.000.100.020.010.260.400.20
0.000.000.020.260.030.510.170.000.01
0.000.000.010.160.490.130.070.040.09
0.000.000.010.670.150.110.030.010.02
0.010.000.030.190.020.050.080.280.35
</s>0.000.000.030.380.060.370.070.040.05

Inference graph