P06-2031 el , ef ) : Chinese to English word sense translation probability . ( 1 ) Word senses
P06-2031 entries in FrameNet . An example of word sense translation from our algorithm output is
P06-2031 Word Sense Translation Previous word sense translation methods are based on using context
P06-2031 shown in Table 1 be - low . The word sense translation accuracies of the above words
P06-2031 English FrameNet , the average word sense translation accuracy is 82 % . Applying the
P06-2031 have improved the accuracy of word sense translation using the current method . Table
P06-2031 erro - neous . The accuracy of word sense translations on this evaluation set of example
P06-2031 translation corresponds to the word sense translation we described in the previous
P06-2031 Communications Foundation . <title> Robust Word Sense Translation by EM Learning of Frame Semantics
P06-2031 are not correctly mapped , then word sense translation accuracy suffers . The main advantage
P06-2031 Table 3 . Our method improves word sense translation precision over Fung and Chen
P06-2031 Figure 6 , there are altogether 147 word sense translations for ( hold , detaining ) . We
P06-2031 Semantics We evaluate the accuracy of word sense translation in our automatically generated
P06-2031 , human | &#20154; . 4 Robust Word Sense Translation Using Frame Semantics We evaluate
P11-2055 scores ) are then stored in a word sense translation table , in which look-ups are
S10-1026 process results in an English word sense translation table ( WSTT ) . The word senses
E14-4011 approach to accurately detecting word sense translation errors ( WSTEs ) of ambiguous
P06-2031 translation likelihoods , our word sense translation accuracies are very high , at
P06-2031 cluster Chinese verb senses . Word Sense Translation Previous word sense translation
P06-2031 detaining ) . We then find the word sense translation with the highest probability
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