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123
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MT
2002
118views more  MT 2002»
15 years 3 months ago
Principles of Context-Based Machine Translation Evaluation
This article defines a Framework for Machine Translation Evaluation (FEMTI) which relates the quality model used to evaluate a machine translation system to the purpose and context...
Eduard H. Hovy, Margaret King, Andrei Popescu-Beli...
127
Voted
EMNLP
2009
15 years 1 months ago
Discriminative Corpus Weight Estimation for Machine Translation
Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
108
Voted
ACL
1990
15 years 4 months ago
Solving Thematic Divergences in Machine Translation
Though most translation systems have some mechanism for translating certain types of divergent predicate-argument structures, they do not provide a genera] procedure that takes ad...
Bonnie J. Dorr
131
Voted
ACL
2008
15 years 5 months ago
Partial Matching Strategy for Phrase-based Statistical Machine Translation
This paper presents a partial matching strategy for phrase-based statistical machine translation (PBSMT). Source phrases which do not appear in the training corpus can be translat...
Zhongjun He, Qun Liu, Shouxun Lin
122
Voted
CORR
1999
Springer
81views Education» more  CORR 1999»
15 years 3 months ago
Explanation-based Learning for Machine Translation
In this paper we present an application of explanation-based learning (EBL) in the parsing module of a real-time English-Spanish machine translation system designed to translate c...
Janine Toole, Fred Popowich, Devlan Nicholson, Dav...