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JMLR
2011
187views more  JMLR 2011»
13 years 2 months ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
IJCNLP
2004
Springer
14 years 1 months ago
Example-Based Machine Translation Without Saying Inferable Predicate
For natural translations, a human being does not express predicates that are inferable from the context in a target language. This paper proposes a method of machine translation w...
Eiji Aramaki, Sadao Kurohashi, Hideki Kashioka, Hi...
ACL
2010
13 years 5 months ago
Bilingual Sense Similarity for Statistical Machine Translation
This paper proposes new algorithms to compute the sense similarity between two units (words, phrases, rules, etc.) from parallel corpora. The sense similarity scores are computed ...
Boxing Chen, George F. Foster, Roland Kuhn
COLING
2000
13 years 9 months ago
An Integrated Architecture for Example-Based Machine Translation
This paper describes a machine translation architecture that integrates the use el' examples for flexible, idiomatic translations with the use o1' linguistic rules for b...
Alexander Franz, Keiko Horiguchi, Lei Duan, Doris ...
PRIS
2008
13 years 9 months ago
Using a Bilingual Context in Word-Based Statistical Machine Translation
Abstract. In statistical machine translation, phrase-based translation (PBT) models lead to a significantly better translation quality over single-word-based (SWB) models. PBT mode...
Christoph Schmidt, David Vilar, Hermann Ney