BOOK

The automatic translation of idioms. Machine translation vs. translation memory systems

Martin Volk

Year: 1998 Zurich Open Repository and Archive (University of Zurich) Pages: 167-192   Publisher: University of Zurich

Abstract

Translating idioms is one of the most difficult tasks for human translators and translation machines alike. The main problems consist in recognizing an idiom and in distinguishing idiomatic from non-idiomatic usage. Recognition is difficult since many idioms can be modified and others can be discontinuously spread over a clause. But with the help of systematic idiom collections and special rules the recognition of an idiom candidate is always possible. The distinction between idiomatic and non-idiomatic usage is more problematic. Sometimes this can be done by means of special words that are only used in an idiom. But in general this distinction is a question of semantics and pragmatics and therefore beyond the abilities of current translation systems. In this paper we investigate the requirements for automatically recognizing idioms and we check whether idiom recognition is possible within current translation systems, i.e. machine translation and translation memory systems. This is of ...

Keywords:
Translation (biology) Computer science Machine translation Natural language processing Example-based machine translation Computer-assisted translation Machine translation system Artificial intelligence Synchronous context-free grammar Transfer-based machine translation Biology

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4
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0.85
FWCI (Field Weighted Citation Impact)
0
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0.77
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Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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