<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="white-2000-contemplating">
    <titleInfo>
        <title>Contemplating automatic MT evaluation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">John</namePart>
        <namePart type="given">S</namePart>
        <namePart type="family">White</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2000-oct 10-14</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">John</namePart>
            <namePart type="given">S</namePart>
            <namePart type="family">White</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Springer</publisher>
            <place>
                <placeTerm type="text">Cuernavaca, Mexico</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Researchers, developers, translators and information consumers all share the problem that there is no accepted standard for machine translation. The problem is much further confounded by the fact that MT evaluations properly done require a considerable commitment of time and resources, an anachronism in this day of cross-lingual information processing when new MT systems may developed in weeks instead of years. This paper surveys the needs addressed by several of the classic “types” of MT, and speculates on ways that each of these types might be automated to create relevant, near-instantaneous evaluation of approaches and systems.</abstract>
    <identifier type="citekey">white-2000-contemplating</identifier>
    <location>
        <url>https://link.springer.com/chapter/10.1007/3-540-39965-8_10</url>
    </location>
    <part>
        <date>2000-oct 10-14</date>
        <extent unit="page">
            <start>100</start>
            <end>108</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Contemplating automatic MT evaluation
%A White, John S.
%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 white-2000-contemplating
%X Researchers, developers, translators and information consumers all share the problem that there is no accepted standard for machine translation. The problem is much further confounded by the fact that MT evaluations properly done require a considerable commitment of time and resources, an anachronism in this day of cross-lingual information processing when new MT systems may developed in weeks instead of years. This paper surveys the needs addressed by several of the classic “types” of MT, and speculates on ways that each of these types might be automated to create relevant, near-instantaneous evaluation of approaches and systems.
%U https://link.springer.com/chapter/10.1007/3-540-39965-8_10
%P 100-108

Markdown (Informal)

[Contemplating automatic MT evaluation](https://link.springer.com/chapter/10.1007/3-540-39965-8_10) (White, AMTA 2000)

• Contemplating automatic MT evaluation (White, AMTA 2000)

ACL

• John S. White. 2000. Contemplating automatic MT evaluation. In Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 100–108, Cuernavaca, Mexico. Springer.