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ACL
2009
14 years 7 months ago
A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination
Recently confusion network decoding shows the best performance in combining outputs from multiple machine translation (MT) systems. However, overcoming different word orders prese...
Boxing Chen, Min Zhang, Haizhou Li, AiTi Aw
RIDE
2003
IEEE
15 years 2 months ago
Exploiting multi-lingual text potentialities in EBMT systems
Translating documents from a source to a target language is a repetitive activity. The attempt to automate such a difficult task has been a long-term scientific dream. Among the...
Federica Mandreoli, Riccardo Martoglia, Paolo Tibe...
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ACL
2011
14 years 1 months ago
Machine Translation System Combination by Confusion Forest
Taro Watanabe, Eiichiro Sumita
CICLING
2008
Springer
14 years 11 months ago
Dynamic Translation Memory: Using Statistical Machine Translation to Improve Translation Memory Fuzzy Matches
Abstract. Professional translators of technical documents often use Translation Memory (TM) systems in order to capitalize on the repetitions frequently observed in these documents...
Ergun Biçici, Marc Dymetman
NAACL
2004
14 years 11 months ago
A Smorgasbord of Features for Statistical Machine Translation
We describe a methodology for rapid experimentation in statistical machine translation which we use to add a large number of features to a baseline system exploiting features from...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur,...