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        <title>Multi-source synthetic treebank creation for improved cross-lingual dependency parsing</title>
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    <name type="personal">
        <namePart type="given">Francis</namePart>
        <namePart type="family">Tyers</namePart>
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    <name type="personal">
        <namePart type="given">Mariya</namePart>
        <namePart type="family">Sheyanova</namePart>
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    <name type="personal">
        <namePart type="given">Aleksandra</namePart>
        <namePart type="family">Martynova</namePart>
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    <name type="personal">
        <namePart type="given">Pavel</namePart>
        <namePart type="family">Stepachev</namePart>
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    <name type="personal">
        <namePart type="given">Konstantin</namePart>
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            <title>Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)</title>
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        <name type="personal">
            <namePart type="given">Marie-Catherine</namePart>
            <namePart type="family">de Marneffe</namePart>
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        <name type="personal">
            <namePart type="given">Teresa</namePart>
            <namePart type="family">Lynn</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <namePart type="given">Sebastian</namePart>
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    <abstract>This paper describes a method of creating synthetic treebanks for cross-lingual dependency parsing using a combination of machine translation (including pivot translation), annotation projection and the spanning tree algorithm. Sentences are first automatically translated from a lesser-resourced language to a number of related highly-resourced languages, parsed and then the annotations are projected back to the lesser-resourced language, leading to multiple trees for each sentence from the lesser-resourced language. The final treebank is created by merging the possible trees into a graph and running the spanning tree algorithm to vote for the best tree for each sentence. We present experiments aimed at parsing Faroese using a combination of Danish, Swedish and Norwegian. In a similar experimental setup to the CoNLL 2018 shared task on dependency parsing we report state-of-the-art results on dependency parsing for Faroese using an off-the-shelf parser.</abstract>
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    <identifier type="doi">10.18653/v1/W18-6017</identifier>
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%0 Conference Proceedings
%T Multi-source synthetic treebank creation for improved cross-lingual dependency parsing
%A Tyers, Francis
%A Sheyanova, Mariya
%A Martynova, Aleksandra
%A Stepachev, Pavel
%A Vinogorodskiy, Konstantin
%Y de Marneffe, Marie-Catherine
%Y Lynn, Teresa
%Y Schuster, Sebastian
%S Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F tyers-etal-2018-multi
%X This paper describes a method of creating synthetic treebanks for cross-lingual dependency parsing using a combination of machine translation (including pivot translation), annotation projection and the spanning tree algorithm. Sentences are first automatically translated from a lesser-resourced language to a number of related highly-resourced languages, parsed and then the annotations are projected back to the lesser-resourced language, leading to multiple trees for each sentence from the lesser-resourced language. The final treebank is created by merging the possible trees into a graph and running the spanning tree algorithm to vote for the best tree for each sentence. We present experiments aimed at parsing Faroese using a combination of Danish, Swedish and Norwegian. In a similar experimental setup to the CoNLL 2018 shared task on dependency parsing we report state-of-the-art results on dependency parsing for Faroese using an off-the-shelf parser.
%R 10.18653/v1/W18-6017
%U https://aclanthology.org/W18-6017
%U https://doi.org/10.18653/v1/W18-6017
%P 144-150

Markdown (Informal)

[Multi-source synthetic treebank creation for improved cross-lingual dependency parsing](https://aclanthology.org/W18-6017) (Tyers et al., UDW 2018)

• Multi-source synthetic treebank creation for improved cross-lingual dependency parsing (Tyers et al., UDW 2018)

ACL

• Francis Tyers, Mariya Sheyanova, Aleksandra Martynova, Pavel Stepachev, and Konstantin Vinogorodskiy. 2018. Multi-source synthetic treebank creation for improved cross-lingual dependency parsing. In Proceedings of the Second Workshop on Universal Dependencies (UDW 2018), pages 144–150, Brussels, Belgium. Association for Computational Linguistics.