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