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IEICET
2008
136views more  IEICET 2008»
13 years 6 months ago
Bilingual Cluster Based Models for Statistical Machine Translation
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Hirofumi Yamamoto, Eiichiro Sumita
COLING
1992
13 years 7 months ago
Cooperation between Transfer and Analysis in Example-Based Framework
Transfer-Driven Machine Translation (TDMT) is presented as a method which drives the translation processes according to the nature of the input. In TDMT, transfer knowledge is the...
Osamu Furuse, Hitoshi Iida
LREC
2010
169views Education» more  LREC 2010»
13 years 8 months ago
Using Comparable Corpora to Adapt a Translation Model to Domains
Statistical machine translation (SMT) requires a large parallel corpus, which is available only for restricted language pairs and domains. To expand the language pairs and domains...
Hiroyuki Kaji, Takashi Tsunakawa, Daisuke Okada
ACL
1992
13 years 7 months ago
Metonymy: Reassessment, Survey of Acceptability, and its Treatment in a Machine Translation System
In this article we outline a basic approach to treating metonymy properly in a multilingual machine translation system. This is the first attempt at treating metonymy in an machin...
Shin-ichiro Kamei, Takahiro Wakao
ACL
2006
13 years 8 months ago
A Clustered Global Phrase Reordering Model for Statistical Machine Translation
In this paper, we present a novel global reordering model that can be incorporated into standard phrase-based statistical machine translation. Unlike previous local reordering mod...
Masaaki Nagata, Kuniko Saito, Kazuhide Yamamoto, K...