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    <titleInfo>
        <title>Handling Idioms in Symbolic Multilingual Natural Language Generation</title>
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    <name type="personal">
        <namePart type="given">Michaelle</namePart>
        <namePart type="family">Dubé</namePart>
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    <name type="personal">
        <namePart type="given">François</namePart>
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            <title>Proceedings of the 18th Workshop on Multiword Expressions @LREC2022</title>
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        <name type="personal">
            <namePart type="given">Archna</namePart>
            <namePart type="family">Bhatia</namePart>
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        <name type="personal">
            <namePart type="given">Paul</namePart>
            <namePart type="family">Cook</namePart>
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        <name type="personal">
            <namePart type="given">Shiva</namePart>
            <namePart type="family">Taslimipoor</namePart>
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        <name type="personal">
            <namePart type="given">Marcos</namePart>
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        <name type="personal">
            <namePart type="given">Carlos</namePart>
            <namePart type="family">Ramisch</namePart>
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            <publisher>European Language Resources Association</publisher>
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    <abstract>While idioms are usually very rigid in their expression, they sometimes allow a certain level of freedom in their usage, with modifiers or complements splitting them or being syntactically attached to internal nodes rather than to the root (e.g., “take something with a big grain of salt”). This means that they cannot always be handled as ready-made strings in rule-based natural language generation systems. Having access to the internal syntactic structure of an idiom allows for more subtle processing. We propose a way to enumerate all possible language-independent n-node trees and to map particular idioms of a language onto these generic syntactic patterns. Using this method, we integrate the idioms from the LN-fr into GenDR, a multilingual realizer. Our implementation covers nearly 98% of LN-fr’s idioms with high precision, and can easily be extended or ported to other languages.</abstract>
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%0 Conference Proceedings
%T Handling Idioms in Symbolic Multilingual Natural Language Generation
%A Dubé, Michaelle
%A Lareau, François
%Y Bhatia, Archna
%Y Cook, Paul
%Y Taslimipoor, Shiva
%Y Garcia, Marcos
%Y Ramisch, Carlos
%S Proceedings of the 18th Workshop on Multiword Expressions @LREC2022
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F dube-lareau-2022-handling
%X While idioms are usually very rigid in their expression, they sometimes allow a certain level of freedom in their usage, with modifiers or complements splitting them or being syntactically attached to internal nodes rather than to the root (e.g., “take something with a big grain of salt”). This means that they cannot always be handled as ready-made strings in rule-based natural language generation systems. Having access to the internal syntactic structure of an idiom allows for more subtle processing. We propose a way to enumerate all possible language-independent n-node trees and to map particular idioms of a language onto these generic syntactic patterns. Using this method, we integrate the idioms from the LN-fr into GenDR, a multilingual realizer. Our implementation covers nearly 98% of LN-fr’s idioms with high precision, and can easily be extended or ported to other languages.
%U https://aclanthology.org/2022.mwe-1.17
%P 118-126

Markdown (Informal)

[Handling Idioms in Symbolic Multilingual Natural Language Generation](https://aclanthology.org/2022.mwe-1.17) (Dubé & Lareau, MWE 2022)

• Handling Idioms in Symbolic Multilingual Natural Language Generation (Dubé & Lareau, MWE 2022)

ACL

• Michaelle Dubé and François Lareau. 2022. Handling Idioms in Symbolic Multilingual Natural Language Generation. In Proceedings of the 18th Workshop on Multiword Expressions @LREC2022, pages 118–126, Marseille, France. European Language Resources Association.