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EMNLP
2006
13 years 10 months ago
SPMT: Statistical Machine Translation with Syntactified Target Language Phrases
We introduce SPMT, a new class of statistical Translation Models that use Syntactified target language Phrases. The SPMT models outperform a state of the art phrase-based baseline...
Daniel Marcu, Wei Wang, Abdessamad Echihabi, Kevin...
ANLP
1994
83views more  ANLP 1994»
13 years 10 months ago
Automatic Aquisition of Semantic Attributes for User Defined Words m Japanese to English Machine Translation
This paper proposes a method that automatically acquires the SAs (semantic attributes) of user defined words. Applyingthis method to the compilation of a user dictionary targeting...
Satoru Ikehara, Satoshi Shirai, Akio Yokoo, Franci...
NAACL
1994
13 years 10 months ago
The Automatic Component of the LINGSTAT Machine-Aided Translation System
We present the newest implementation of the LINGSTAT machine-aided translation system. The moat signiflcsat change from earlier versions is a new set of modules that produce a dra...
Jonathan Yamron, James Cant, Anne Demedts, Taiko D...
EMNLP
2010
13 years 6 months ago
Example-Based Paraphrasing for Improved Phrase-Based Statistical Machine Translation
In this article, an original view on how to improve phrase translation estimates is proposed. This proposal is grounded on two main ideas: first, that appropriate examples of a gi...
Aurélien Max
ACL
2007
13 years 10 months ago
Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora
Current phrase-based SMT systems perform poorly when using small training sets. This is a consequence of unreliable translation estimates and low coverage over source and target p...
Trevor Cohn, Mirella Lapata