Title
NTT Statistical Machine Translation for IWSLT 2006
Abstract
We present the NTT translation system that is experimented for the evaluation campaign of "International Workshop on Spoken Language Translation (IWSLT)." The system con- sists of two primary components: a hierarchical phrase-based statistical machine translation system and a reranking sys - tem. The former is conceptualized as a synchronous-CFG in which phrases are hierarchically combined using non- terminals. The latter uses a modified voted perceptron ap- proach with large number of features. Experiments showed that our hierarchical phrase-based model outperformed a conventional phrase-based model. In addition, our reranking algorithm further boosted the performance.
Year
Venue
Field
2006
IWSLT
Rule-based machine translation,Example-based machine translation,Computer science,Machine translation system,Machine translation,Phrase,Speech recognition,Synchronous context-free grammar,Machine translation software usability,Natural language processing,Artificial intelligence,Perceptron
DocType
Citations 
PageRank 
Conference
6
0.58
References 
Authors
13
4
Name
Order
Citations
PageRank
Taro Watanabe157236.86
Junichi Suzuki21265112.15
Hajime Tsukada344929.46
Hideki Isozak460.58