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» Discriminative Reranking for Machine Translation
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NAACL
2004
13 years 5 months ago
Discriminative Reranking for Machine Translation
This paper describes the application of discriminative reranking techniques to the problem of machine translation. For each sentence in the source language, we obtain from a basel...
Libin Shen, Anoop Sarkar, Franz Josef Och
ACL
2006
13 years 5 months ago
An End-to-End Discriminative Approach to Machine Translation
We present a perceptron-style discriminative approach to machine translation in which large feature sets can be exploited. Unlike discriminative reranking approaches, our system c...
Percy Liang, Alexandre Bouchard-Côté,...
ACL
2009
13 years 2 months ago
Collaborative Decoding: Partial Hypothesis Re-ranking Using Translation Consensus between Decoders
This paper presents collaborative decoding (co-decoding), a new method to improve machine translation accuracy by leveraging translation consensus between multiple machine transla...
Mu Li, Nan Duan, Dongdong Zhang, Chi-Ho Li, Ming Z...
ICML
2000
IEEE
13 years 8 months ago
Discriminative Reranking for Natural Language Parsing
This paper considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with assoc...
Michael Collins
NAACL
2007
13 years 5 months ago
Generating Case Markers in Machine Translation
We study the use of rich syntax-based statistical models for generating grammatical case for the purpose of machine translation from a language which does not indicate case explic...
Kristina Toutanova, Hisami Suzuki