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» Discriminative Reranking for Machine Translation
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ACL
2006
13 years 8 months ago
Semi-Supervised Training for Statistical Word Alignment
We introduce a semi-supervised approach to training for statistical machine translation that alternates the traditional Expectation Maximization step that is applied on a large tr...
Alexander Fraser, Daniel Marcu
COLING
2010
13 years 2 months ago
Feature-Rich Discriminative Phrase Rescoring for SMT
This paper proposes a new approach to phrase rescoring for statistical machine translation (SMT). A set of novel features capturing the translingual equivalence between a source a...
Fei Huang, Bing Xiang
ACL
2011
12 years 11 months ago
A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation
This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence s...
Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang
ACL
2009
13 years 5 months ago
Asynchronous Binarization for Synchronous Grammars
Binarization of n-ary rules is critical for the efficiency of syntactic machine translation decoding. Because the target side of a rule will generally reorder the source side, it ...
John DeNero, Adam Pauls, Dan Klein
NAACL
2007
13 years 8 months ago
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
Ding Liu, Daniel Gildea