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» Semi-Supervised Training for Statistical Word Alignment
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ACL
2006
14 years 11 months ago
Scalable Inference and Training of Context-Rich Syntactic Translation Models
Statistical MT has made great progress in the last few years, but current translation models are weak on re-ordering and target language fluency. Syntactic approaches seek to reme...
Michel Galley, Jonathan Graehl, Kevin Knight, Dani...
LREC
2008
77views Education» more  LREC 2008»
14 years 11 months ago
Word-Based or Morpheme-Based? Annotation Strategies for Modern Hebrew Clitics
Morphologically rich languages pose a challenge to the annotators of treebanks with respect to the status of orthographic (spacedelimited) words in the syntactic parse trees. In s...
Reut Tsarfaty, Yoav Goldberg
CIKM
2010
Springer
14 years 8 months ago
Clickthrough-based translation models for web search: from word models to phrase models
Web search is challenging partly due to the fact that search queries and Web documents use different language styles and vocabularies. This paper provides a quantitative analysis ...
Jianfeng Gao, Xiaodong He, Jian-Yun Nie
ICASSP
2009
IEEE
15 years 4 months ago
Data-driven lexicon expansion for Mandarin broadcast news and conversation speech recognition
We present a data-driven framework for expanding the lexicon to improve Mandarin broadcast news and conversation speech recognition. The lexicon expansion includes the generation ...
Xin Lei, Wen Wang, Stolcke Stolcke
70
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COLING
2002
14 years 9 months ago
A Robust Cross-Style Bilingual Sentences Alignment Model
Most current sentence alignment approaches adopt sentence length and cognate as the alignment features; and they are mostly trained and tested in the documents with the same style...
Tz-Liang Kueng, Keh-Yih Su