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» A New Approach to Speech-Input Statistical Translation
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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...
COLING
2010
14 years 4 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
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...
NAACL
1994
14 years 11 months ago
Automatic Evaluation of Computer Generated Text: A Progress Report on the TEXTEVAL Project
We present results ofexperiments designed to assess the usefulness of a new technique for the evaluation of translation quality, comparing human rankings with automatic measures. ...
Chris Brew, Henry S. Thompson
ICMLC
2010
Springer
14 years 7 months ago
An improvement of translation quality with adding key-words in parallel corpus
: In this paper, we propose a new approach to improve the translation quality by adding the Key-Words of a sentence to the parallel corpus. The main idea of the approach is to find...
Liang Tian, Fai Wong, Sam Chao