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        <title>An Adaptable Lexical Simplification Architecture for Major Ibero-Romance Languages</title>
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    <name type="personal">
        <namePart type="given">Daniel</namePart>
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        <namePart type="given">Horacio</namePart>
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    <name type="personal">
        <namePart type="given">Xavier</namePart>
        <namePart type="family">Gómez Guinovart</namePart>
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            <title>Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems</title>
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        <name type="personal">
            <namePart type="given">Emily</namePart>
            <namePart type="family">Bender</namePart>
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        <name type="personal">
            <namePart type="given">Hal</namePart>
            <namePart type="family">Daumé III</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Allyson</namePart>
            <namePart type="family">Ettinger</namePart>
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            <namePart type="given">Sudha</namePart>
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    <abstract>Lexical Simplification is the task of reducing the lexical complexity of textual documents by replacing difficult words with easier to read (or understand) expressions while preserving the original meaning. The development of robust pipelined multilingual architectures able to adapt to new languages is of paramount importance in lexical simplification. This paper describes and evaluates a modular hybrid linguistic-statistical Lexical Simplifier that deals with the four major Ibero-Romance Languages: Spanish, Portuguese, Catalan, and Galician. The architecture of the system is the same for the four languages addressed, only the language resources used during simplification are language specific.</abstract>
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        <date>2017-09</date>
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%0 Conference Proceedings
%T An Adaptable Lexical Simplification Architecture for Major Ibero-Romance Languages
%A Ferrés, Daniel
%A Saggion, Horacio
%A Gómez Guinovart, Xavier
%Y Bender, Emily
%Y Daumé III, Hal
%Y Ettinger, Allyson
%Y Rao, Sudha
%S Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F ferres-etal-2017-adaptable
%X Lexical Simplification is the task of reducing the lexical complexity of textual documents by replacing difficult words with easier to read (or understand) expressions while preserving the original meaning. The development of robust pipelined multilingual architectures able to adapt to new languages is of paramount importance in lexical simplification. This paper describes and evaluates a modular hybrid linguistic-statistical Lexical Simplifier that deals with the four major Ibero-Romance Languages: Spanish, Portuguese, Catalan, and Galician. The architecture of the system is the same for the four languages addressed, only the language resources used during simplification are language specific.
%R 10.18653/v1/W17-5406
%U https://aclanthology.org/W17-5406
%U https://doi.org/10.18653/v1/W17-5406
%P 40-47

Markdown (Informal)

[An Adaptable Lexical Simplification Architecture for Major Ibero-Romance Languages](https://aclanthology.org/W17-5406) (Ferrés et al., 2017)

• An Adaptable Lexical Simplification Architecture for Major Ibero-Romance Languages (Ferrés et al., 2017)

ACL

• Daniel Ferrés, Horacio Saggion, and Xavier Gómez Guinovart. 2017. An Adaptable Lexical Simplification Architecture for Major Ibero-Romance Languages. In Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems, pages 40–47, Copenhagen, Denmark. Association for Computational Linguistics.