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        <title>Combining invertible example-based machine translation with translation memory technology</title>
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        <namePart type="given">Michael</namePart>
        <namePart type="family">Carl</namePart>
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            <title>Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers</title>
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            <namePart type="given">John</namePart>
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    <abstract>This paper presents an approach to extract invertible trans- lation examples from pre-aligned reference translations. The set of in- vertible translation examples is used in the Example-Based Machine Translation (EBMT) system EDGAR for translation. Invertible bilin- gual grammars eliminate translation ambiguities such that each source language parse tree maps into only one target language string. The trans- lation results of EDGAR are compared and combined with those of a translation memory (TM). It is shown that i) best translation results are achieved for the EBMT system when using a bilingual lexicon to sup- port the alignment process ii) TMs and EBMT-systems can be linked in a dynamical sequential manner and iii) the combined translation of TMs and EBMT is in any case better than each of the single system.</abstract>
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        <date>2000-oct 10-14</date>
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%0 Conference Proceedings
%T Combining invertible example-based machine translation with translation memory technology
%A Carl, Michael
%Y White, John S.
%S Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers
%D 2000
%8 oct 10 14
%I Springer
%C Cuernavaca, Mexico
%F carl-2000-combining
%X This paper presents an approach to extract invertible trans- lation examples from pre-aligned reference translations. The set of in- vertible translation examples is used in the Example-Based Machine Translation (EBMT) system EDGAR for translation. Invertible bilin- gual grammars eliminate translation ambiguities such that each source language parse tree maps into only one target language string. The trans- lation results of EDGAR are compared and combined with those of a translation memory (TM). It is shown that i) best translation results are achieved for the EBMT system when using a bilingual lexicon to sup- port the alignment process ii) TMs and EBMT-systems can be linked in a dynamical sequential manner and iii) the combined translation of TMs and EBMT is in any case better than each of the single system.
%U https://link.springer.com/chapter/10.1007/3-540-39965-8_13
%P 127-136

Markdown (Informal)

[Combining invertible example-based machine translation with translation memory technology](https://link.springer.com/chapter/10.1007/3-540-39965-8_13) (Carl, AMTA 2000)

• Combining invertible example-based machine translation with translation memory technology (Carl, AMTA 2000)

ACL

• Michael Carl. 2000. Combining invertible example-based machine translation with translation memory technology. In Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 127–136, Cuernavaca, Mexico. Springer.