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    <titleInfo>
        <title>Predicting MT fidelity from noun-compound handling</title>
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    <name type="personal">
        <namePart type="given">John</namePart>
        <namePart type="family">White</namePart>
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    <name type="personal">
        <namePart type="given">Monika</namePart>
        <namePart type="family">Forner</namePart>
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        <dateIssued>2001-sep 18-22</dateIssued>
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            <title>Workshop on MT Evaluation</title>
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        <name type="personal">
            <namePart type="given">Eduard</namePart>
            <namePart type="family">Hovy</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Margaret</namePart>
            <namePart type="family">King</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Sandra</namePart>
            <namePart type="family">Manzi</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Florence</namePart>
            <namePart type="family">Reeder</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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    <abstract>Approaches to the automation of machine translation (MT) evaluation have attempted, or presumed, to connect some rapidly measurable phenomenon with general attributes of the MT output and/or system. In particular, measurements of the fluency of output are often asserted to be predictive of the usefulness of MT output in information-intensive, downstream tasks. The connections between the fluency (“intelligibility”) of translation and its informational adequacy (“fidelity”) are not actually straightforward. This paper discussed a small experiment in isolating a particular contrastive linguistic phenomena common to both French-English and Spanish-English pairs, and attempts to associate that behavior in machine and human translations with known fidelity properties of those translations. Our results show a definite correlative trend.</abstract>
    <identifier type="citekey">white-forner-2001-predicting</identifier>
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        <url>https://aclanthology.org/2001.mtsummit-eval.11</url>
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%0 Conference Proceedings
%T Predicting MT fidelity from noun-compound handling
%A White, John
%A Forner, Monika
%Y Hovy, Eduard
%Y King, Margaret
%Y Manzi, Sandra
%Y Reeder, Florence
%S Workshop on MT Evaluation
%D 2001
%8 sep 18 22
%C Santiago de Compostela, Spain
%F white-forner-2001-predicting
%X Approaches to the automation of machine translation (MT) evaluation have attempted, or presumed, to connect some rapidly measurable phenomenon with general attributes of the MT output and/or system. In particular, measurements of the fluency of output are often asserted to be predictive of the usefulness of MT output in information-intensive, downstream tasks. The connections between the fluency (“intelligibility”) of translation and its informational adequacy (“fidelity”) are not actually straightforward. This paper discussed a small experiment in isolating a particular contrastive linguistic phenomena common to both French-English and Spanish-English pairs, and attempts to associate that behavior in machine and human translations with known fidelity properties of those translations. Our results show a definite correlative trend.
%U https://aclanthology.org/2001.mtsummit-eval.11

Markdown (Informal)

[Predicting MT fidelity from noun-compound handling](https://aclanthology.org/2001.mtsummit-eval.11) (White & Forner, MTSummit 2001)

• Predicting MT fidelity from noun-compound handling (White & Forner, MTSummit 2001)

ACL

• John White and Monika Forner. 2001. Predicting MT fidelity from noun-compound handling. In Workshop on MT Evaluation, Santiago de Compostela, Spain.