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» Learning Rules to Improve a Machine Translation System
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ACL
2008
15 years 1 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
TASLP
2008
108views more  TASLP 2008»
14 years 11 months ago
An Online Relevant Set Algorithm for Statistical Machine Translation
This paper presents a novel online relevant set algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the glob...
Christoph Tillmann, Tong Zhang
ECML
1993
Springer
15 years 3 months ago
SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
Gilles Venturini
ACL
2007
15 years 1 months ago
Ordering Phrases with Function Words
This paper presents a Function Word centered, Syntax-based (FWS) solution to address phrase ordering in the context of statistical machine translation (SMT). Motivated by the obse...
Hendra Setiawan, Min-Yen Kan, Haizhou Li
ACL
2008
15 years 1 months ago
Combining Source and Target Language Information for Name Tagging of Machine Translation Output
A Named Entity Recognizer (NER) generally has worse performance on machine translated text, because of the poor syntax of the MT output and other errors in the translation. As som...
Shasha Liao