bilingual translation 0.00672575
translation knowledge 0.00600942
translation set 0.005974978
translation context 0.0059228069999999996
multilingual translation 0.005852982
first translation 0.0058502929999999995
machine translation 0.005826316
translation selection 0.0057812539999999996
candidate translation 0.005763473999999999
correct translation 0.005762581
translation sets 0.005733267
translation equivalents 0.005733016
translation candidates 0.0057194049999999995
alternative translation 0.005718183999999999
frequent translation 0.005702046
gual translation 0.005695838999999999
translation lists 0.005677138
translation con 0.005674572
translation equiva 0.005672381
translation ambiguities 0.0056588559999999994
translation 0.00534561
language test 0.002558351
test word 0.002473091
chinese word 0.002438367
bilingual corpus 0.00242232
language pairs 0.002303106
language text 0.002216511
target language 0.002205682
word sense 0.002102012
bilingual corpora 0.002101638
english test 0.002098891
language pair 0.002095787
language items 0.002027142
iso language 0.002022544
language code 0.002019973
language codes 0.001990732
resourced language 0.001983722
foreign language 0.001976613
language tag 0.0019762210000000002
respective language 0.001974825
word level 0.001971066
language technologies 0.001970293
bilingual training 0.001950535
word segmenter 0.001892078
word boundaries 0.00188758
word segmentation 0.001886302
glish word 0.001886302
bilingual com 0.001781861
bilingual wikipedia 0.0017724709999999999
chinese test 0.001762478
test words 0.00174347
test data 0.001742794
bilingual cor 0.00172643
language 0.00165975
test sentence 0.001645872
training corpus 0.001612575
comparable corpus 0.0015817079999999998
malay corpus 0.001580045
english articles 0.001573774
test set 0.0015279690000000001
english article 0.001515939
input test 0.001515581
test sentences 0.0015053369999999998
other words 0.001462921
parallel corpus 0.001460846
context information 0.001453374
data source 0.001440918
semantic information 0.001436833
malay test 0.001436466
wikipedia corpus 0.0014345109999999999
lexical resources 0.001426877
lexical lookup 0.001388795
syntactic information 0.001376562
corpus con 0.001371142
input sentence 0.001364251
parable corpus 0.001360292
different languages 0.0013318610000000002
current test 0.00132723
query vector 0.001315522
dictionary lookup 0.001311583
iban test 0.001308417
information fields 0.0012879060000000001
test inputs 0.0012843149999999998
lexical selection 0.0012721059999999998
class words 0.001271006
multilingual dictionary 0.001266622
comparable corpora 0.001261026
possible knowledge 0.001254424
context knowledge 0.0012410070000000001
input sentences 0.0012237160000000001
cess test 0.001223434
text knowledge 0.0012205710000000002
rich information 0.001211034
semeval test 0.001209573
lexical items 0.0012038539999999999
the chinese 0.0012013829999999999
english 0.00120029
lexical sub 0.001196794
input context 0.001194177
stanford chinese 0.001189812
