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FGCN
2008
IEEE
130views Communications» more  FGCN 2008»
14 years 3 months ago
Word Sense Disambiguation Based on Bayes Model and Information Gain
Word sense disambiguation has always been a key problem in Natural Language Processing. In the paper, we use the method of Information Gain to calculate the weight of different po...
Zhengtao Yu, Bin Deng, Bo Hou, Lu Han, Jianyi Guo
ACL
2006
13 years 10 months ago
Aligning Features with Sense Distinction Dimensions
In this paper we present word sense disambiguation (WSD) experiments on ten highly polysemous verbs in Chinese, where significant performance improvements are achieved using rich ...
Nianwen Xue, Jinying Chen, Martha Palmer
ACL
2012
11 years 11 months ago
Enhancing Statistical Machine Translation with Character Alignment
The dominant practice of statistical machine translation (SMT) uses the same Chinese word segmentation specification in both alignment and translation rule induction steps in buil...
Ning Xi, Guangchao Tang, Xinyu Dai, Shujian Huang,...
EMNLP
2007
13 years 10 months ago
Improving Statistical Machine Translation Using Word Sense Disambiguation
We show for the first time that incorporating the predictions of a word sense disambiguation system within a typical phrase-based statistical machine translation (SMT) model cons...
Marine Carpuat, Dekai Wu
TREC
2000
13 years 10 months ago
TREC-9 CLIR at CUHK: Disambiguation by Similarity Values Between Adjacent Words
We investigated the dictionary-based query translation method combining the translation disambiguation process using statistic cooccurrence information trained from the provided c...
Honglan Jin, Kam-Fai Wong