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» Syntactic Re-Alignment Models for Machine Translation
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ACL
2009
13 years 3 months ago
A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
The tree sequence based translation model allows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence o...
Jun Sun, Min Zhang, Chew Lim Tan
IJCNLP
2005
Springer
13 years 10 months ago
Empirical Study of Utilizing Morph-Syntactic Information in SMT
In this paper, we present an empirical study that utilizes morph-syntactical information to improve translation quality. With three kinds of language pairs matched according to mor...
Young-Sook Hwang, Taro Watanabe, Yutaka Sasaki
ICASSP
2009
IEEE
14 years 2 days ago
Syntactically-informed models for comma prediction
Providing punctuation in speech transcripts not only improves readability, but it also helps downstream text processing such as information extraction or machine translation. In t...
Benoît Favre, Dilek Z. Hakkani-Tür, Eli...
ACL
2012
11 years 7 months ago
Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining
Long-span features, such as syntax, can improve language models for tasks such as speech recognition and machine translation. However, these language models can be difficult to u...
Ariya Rastrow, Mark Dredze, Sanjeev Khudanpur
COLING
2008
13 years 6 months ago
Grammar Comparison Study for Translational Equivalence Modeling and Statistical Machine Translation
This paper presents a general platform, namely synchronous tree sequence substitution grammar (STSSG), for the grammar comparison study in Translational Equivalence Modeling (TEM)...
Min Zhang, Hongfei Jiang, Haizhou Li, AiTi Aw, She...