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Rule-based machine translation

Known as: RBMT 
Rule-based machine translation (RBMT; "Classical Approach" of MT) is machine translation systems based on linguistic information about source and… Expand
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Papers overview

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2019
2019
The world is united socially and technologically with means of languages. Hence there is a big requirement for transfer of… Expand
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2016
2016
Lexical and morphological ambiguities present a serious challenge in rule-based machine translation (RBMT). This chapter… Expand
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2014
2014
This thesis addresses the problem of lexical selection in rule-based machine translation. Lexical selection is the task of… Expand
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Highly Cited
2011
Highly Cited
2011
Apertium is a free/open-source platform for rule-based machine translation. It is being widely used to build machine translation… Expand
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2011
2011
This paper describes the development of a two-way shallow-transfer rulebased machine translation system between Bulgarian and… Expand
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2010
2010
This paper examines the agreement and word-order tackling in Arabic MT systems. The paper represents an English to Arabic… Expand
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Highly Cited
2009
Highly Cited
2009
Automatic post-editing (APE) systems aim at correcting the output of machine translation systems to produce better quality… Expand
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2004
2004
This paper reports on a series of experiments which aim at integratingExample-based Machine Translation and Translation Memories… Expand
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2002
2002
This paper proposes machine learning techniques, which help disambiguate word meaning. These methods focus on considering the… Expand
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1995
1995
A pure statistics-based machine translation system is usually incapable of processing long sentences and is usually domain… Expand
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