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Example-based machine translation

Known as: EBMT, Example based machine translation 
Example-based machine translation (EBMT) is a method of machine translation often characterized by its use of a bilingual corpus with parallel texts… 
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Papers overview

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2005
2005
Example-based machine translation (EBMT) systems, so far, rely on heuristic measures in retrieving translation examples. Such a… 
2004
2004
For natural translations, a human being does not express predicates that are inferable from the context in a target language… 
2003
2003
The theme of controlled translation is currently in vogue in the area of MT. Recent research (Scha ̈ler et al., 2003; Carl, 2003… 
2003
2003
Example-Based Machine Translation (EBMT) retrieves pre-translated phrases from a sentence-aligned bilingual training corpus to… 
2003
2003
The basic frame of Example based machine translation is concerned in this paper. Some key issues, such as bilingual alignment… 
2003
2003
We propose a new approach to the example-based machine translation paradigm. First, the proposed approach retrieves the most… 
2002
2002
Translation is a repetitive activity. The attempt to automate such a difficult task has been a long-term scientific dream; in the… 
2001
2001
An approach to Example-Based Machine Translation is presented which operates by extracting and recombining translation patterns… 
2001
2001
Machine Translation (MT) is a multi-disciplinary, fast evolving research domain, which makes use of almost all computational… 
1992
1992
This paper proposes an alternative approach to matching input text with example text in an Example-Based Machine Translation…