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    <titleInfo>
        <title>The Effect of Linguistic Parameters in CLIR Performance</title>
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    <name type="personal">
        <namePart type="given">Carl</namePart>
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            <title>Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech (CLSSTS2020)</title>
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        <name type="personal">
            <namePart type="given">Kathy</namePart>
            <namePart type="family">McKeown</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Douglas</namePart>
            <namePart type="given">W</namePart>
            <namePart type="family">Oard</namePart>
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        <name>
            <namePart>Elizabeth</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Richard</namePart>
            <namePart type="family">Schwartz</namePart>
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        <identifier type="isbn">979-10-95546-55-9</identifier>
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    <abstract>This paper will detail how IARPA‘s MATERIAL Cross-Language Information Retrieval (CLIR) program investigated certain linguistic parameters to guide language choice, data collection and partitioning, and understand evaluation results. Discerning which linguistic parameters correlated with overall performance enabled the evaluation of progress when different languages were measured, and also was an important factor in determining the most effective CLIR pipeline design, customized to handle language-specific properties deemed necessary to address.</abstract>
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%0 Conference Proceedings
%T The Effect of Linguistic Parameters in CLIR Performance
%A Rubino, Carl
%Y McKeown, Kathy
%Y Oard, Douglas W.
%Y Schwartz, Richard
%E Elizabeth
%S Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech (CLSSTS2020)
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-55-9
%G eng
%F rubino-2020-effect
%X This paper will detail how IARPA‘s MATERIAL Cross-Language Information Retrieval (CLIR) program investigated certain linguistic parameters to guide language choice, data collection and partitioning, and understand evaluation results. Discerning which linguistic parameters correlated with overall performance enabled the evaluation of progress when different languages were measured, and also was an important factor in determining the most effective CLIR pipeline design, customized to handle language-specific properties deemed necessary to address.
%U https://aclanthology.org/2020.clssts-1.1/
%P 1-6

Markdown (Informal)

[The Effect of Linguistic Parameters in CLIR Performance](https://aclanthology.org/2020.clssts-1.1/) (Rubino, CLSSTS 2020)

• The Effect of Linguistic Parameters in CLIR Performance (Rubino, CLSSTS 2020)

ACL

• Carl Rubino. 2020. The Effect of Linguistic Parameters in CLIR Performance. In Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech (CLSSTS2020), pages 1–6, Marseille, France. European Language Resources Association.