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» New Confidence Measures for Statistical Machine Translation
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EMNLP
2007
14 years 11 months ago
Large Language Models in Machine Translation
This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...
Thorsten Brants, Ashok C. Popat, Peng Xu, Franz Jo...
AND
2010
14 years 8 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
CSMR
2006
IEEE
15 years 4 months ago
A Metric of Confidence in Requirements Gathered from Legacy Systems: Two Industrial Case Studies
It is known that well over 50% of replacement projects fail. Requirements gathering go someway to contributing to this statistic; if the requirements we gather for the new system ...
James Marchant, Christos Tjortjis, Michael Turega
ACL
2009
14 years 7 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...
EMNLP
2004
14 years 11 months ago
Monolingual Machine Translation for Paraphrase Generation
We apply statistical machine translation (SMT) tools to generate novel paraphrases of input sentences in the same language. The system is trained on large volumes of sentence pair...
Chris Quirk, Chris Brockett, William B. Dolan