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        <title>Multilingual Projection for Parsing Truly Low-Resource Languages</title>
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    <name type="personal">
        <namePart type="given">Željko</namePart>
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    <name type="personal">
        <namePart type="given">Héctor</namePart>
        <namePart type="family">Martínez Alonso</namePart>
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    <name type="personal">
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    <abstract>We propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages. All that is needed are freely available parallel texts, and taggers and parsers for resource-rich languages. The empirical evaluation across 30 test languages shows that our method consistently provides top-level accuracies, close to established upper bounds, and outperforms several competitive baselines.</abstract>
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    <identifier type="doi">10.1162/tacl_a_00100</identifier>
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        <date>2016</date>
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%0 Journal Article
%T Multilingual Projection for Parsing Truly Low-Resource Languages
%A Agić, Željko
%A Johannsen, Anders
%A Plank, Barbara
%A Martínez Alonso, Héctor
%A Schluter, Natalie
%A Søgaard, Anders
%J Transactions of the Association for Computational Linguistics
%D 2016
%V 4
%I MIT Press
%C Cambridge, MA
%F agic-etal-2016-multilingual
%X We propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages. All that is needed are freely available parallel texts, and taggers and parsers for resource-rich languages. The empirical evaluation across 30 test languages shows that our method consistently provides top-level accuracies, close to established upper bounds, and outperforms several competitive baselines.
%R 10.1162/tacl_a_00100
%U https://aclanthology.org/Q16-1022/
%U https://doi.org/10.1162/tacl_a_00100
%P 301-312

Markdown (Informal)

[Multilingual Projection for Parsing Truly Low-Resource Languages](https://aclanthology.org/Q16-1022/) (Agić et al., TACL 2016)

• Multilingual Projection for Parsing Truly Low-Resource Languages (Agić et al., TACL 2016)

ACL

• Željko Agić, Anders Johannsen, Barbara Plank, Héctor Martínez Alonso, Natalie Schluter, and Anders Søgaard. 2016. Multilingual Projection for Parsing Truly Low-Resource Languages. Transactions of the Association for Computational Linguistics, 4:301–312.