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» Cognates Can Improve Statistical Translation Models
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EMNLP
2009
13 years 6 months ago
Synchronous Tree Adjoining Machine Translation
Tree Adjoining Grammars have well-known advantages, but are typically considered too difficult for practical systems. We demonstrate that, when done right, adjoining improves tran...
Steve DeNeefe, Kevin Knight
COLING
2010
13 years 3 months ago
Improving Reordering with Linguistically Informed Bilingual n-grams
We present a new reordering model estimated as a standard n-gram language model with units built from morphosyntactic information of the source and target languages. It can be see...
Josep Maria Crego, François Yvon
COLING
2010
13 years 3 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou
ACL
2009
13 years 6 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
ACL
2006
13 years 10 months ago
A Phrase-Based Statistical Model for SMS Text Normalization
Short Messaging Service (SMS) texts behave quite differently from normal written texts and have some very special phenomena. To translate SMS texts, traditional approaches model s...
AiTi Aw, Min Zhang, Juan Xiao, Jian Su