<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="paul-2001-translation">
    <titleInfo>
        <title>Translation knowledge recycling for related languages</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Michael</namePart>
        <namePart type="family">Paul</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2001-sep 18-22</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of Machine Translation Summit VIII</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Bente</namePart>
            <namePart type="family">Maegaard</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <place>
                <placeTerm type="text">Santiago de Compostela, Spain</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>An increasing interest in multi-lingual translation systems demands a reconsideration of the development costs of machine translation engines for language pairs. This paper proposes an approach that reuses the existing translation knowledge resources of high-quality translation engines for translation into different, but related languages. The lexical information of the target representation is utilized to generate the corresponding translation in the related language by using a transfer dictionary for the mapping of words and a set of heuristic rules for the mapping of structural information. Experiments using a Japanese-English translation engine for the generation of German translations show a minor decrease of up to 5% in the acceptability of the German output compared with the English translation of unseen Japanese input.</abstract>
    <identifier type="citekey">paul-2001-translation</identifier>
    <location>
        <url>https://aclanthology.org/2001.mtsummit-papers.48</url>
    </location>
    <part>
        <date>2001-sep 18-22</date>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Translation knowledge recycling for related languages
%A Paul, Michael
%Y Maegaard, Bente
%S Proceedings of Machine Translation Summit VIII
%D 2001
%8 sep 18 22
%C Santiago de Compostela, Spain
%F paul-2001-translation
%X An increasing interest in multi-lingual translation systems demands a reconsideration of the development costs of machine translation engines for language pairs. This paper proposes an approach that reuses the existing translation knowledge resources of high-quality translation engines for translation into different, but related languages. The lexical information of the target representation is utilized to generate the corresponding translation in the related language by using a transfer dictionary for the mapping of words and a set of heuristic rules for the mapping of structural information. Experiments using a Japanese-English translation engine for the generation of German translations show a minor decrease of up to 5% in the acceptability of the German output compared with the English translation of unseen Japanese input.
%U https://aclanthology.org/2001.mtsummit-papers.48

Markdown (Informal)

[Translation knowledge recycling for related languages](https://aclanthology.org/2001.mtsummit-papers.48) (Paul, MTSummit 2001)

• Translation knowledge recycling for related languages (Paul, MTSummit 2001)

ACL

• Michael Paul. 2001. Translation knowledge recycling for related languages. In Proceedings of Machine Translation Summit VIII, Santiago de Compostela, Spain.