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Title:
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Toward a science of machine translation.
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Author:
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Bond, Francis.
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Copyright year:
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2002 |
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Abstract:
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The fact that machine translation output does not reach the level of good human
translations is well known. However, there has been surprisingly little attention paid
by the machine translation community to how humans achieve such results.
In this paper, I suggest several ways to improve machine translation, based on the
best practices of human translators, as described in Nida's (1964) Toward a Science
of Translating. I call this approach multi-pass machine translation (MPMT), as it
crucially relies on processing the text more than once. It is similar to the opportunistic
bricoleur approach of Gdaniec (1999) in that it sets out to use the means at hand,
adding to or changing them as necessary. As Sch utz (2001) points out, much of the
research in the past decade has concentrated on the important but non-core issues of
integrating MT into DTP formats and HTML. In this paper I concentrate on improving
the MT engine itself. The resulting approach integrates much recent research into a
single system. |
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Subject:
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DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics. |
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Type:
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Conference Paper |
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Conference name:
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Proceedings of the MT Roadmap Workshop at TMI-2002 |
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School:
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School of Humanities and Social Sciences |
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Rights:
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© 2002 Proceedings of the MT Roadmap Workshop at TMI. |
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Version:
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Accepted version |
