DocumentCode
2665640
Title
SMT decoder dissected: word reordering
Author
Vogel, Stephmi
Author_Institution
Interactive Syst. Labs., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2003
fDate
26-29 Oct. 2003
Firstpage
561
Lastpage
566
Abstract
We describe a decoder for statistical machine translation which allows controlled reordering of the words generated in the target language. After a general discussion of the structure of a decoder a particular implementation is discussed which allows for word-to-word and phrase-to-phrase translation. Word reordering is used to improve the translation quality. We analyze the effect of the length of this reordering window on the search space and the translation quality. Results for Chinese-to-English and Arabic-to-English translation tasks are presented.
Keywords
Viterbi decoding; computational linguistics; language translation; natural languages; Arabic-to-English translation; Chinese-to-English translation; natural language; phrase-to-phrase translation; statistical machine translation decoder; word reordering; word-to-word translation; Automatic control; Automatic testing; Control systems; Decoding; Hidden Markov models; Interactive systems; Laboratories; Probability; Surface-mount technology; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003 International Conference on
Conference_Location
Beijing, China
Print_ISBN
0-7803-7902-0
Type
conf
DOI
10.1109/NLPKE.2003.1275968
Filename
1275968
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