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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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2006
2006
TransBooster is a wrapper technology designed to improve the performance of wide-coverage machine translation systems. Using… 
2005
2005
Example-based machine translation (EBMT) systems, so far, rely on heuristic measures in retrieving translation examples. Such a… 
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… 
2002
2002
Machine translation (MT) is aimed to enable a computer to transfer natural language utterances in either text or speech from one… 
2001
2001
An approach to Example-Based Machine Translation is presented which operates by extracting and recombining translation patterns… 
2000
2000
This paper describes a machine translation architecture that integrates the use of examples for flexible, idiomatic translations… 
2000
2000
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The… 
1992
1992
This paper proposes an alternative approach to matching input text with example text in an Example-Based Machine Translation…