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    <titleInfo>
        <title>Cross-Lingual Wolastoqey-English Definition Modelling</title>
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        <dateIssued>2021-09</dateIssued>
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            <title>Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)</title>
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        <name type="personal">
            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
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    <abstract>Definition modelling is the task of automatically generating a dictionary-style definition given a target word. In this paper, we consider cross-lingual definition generation. Specifically, we generate English definitions for Wolastoqey (Malecite-Passamaquoddy) words. Wolastoqey is an endangered, low-resource polysynthetic language. We hypothesize that sub-word representations based on byte pair encoding (Sennrich et al., 2016) can be leveraged to represent morphologically-complex Wolastoqey words and overcome the challenge of not having large corpora available for training. Our experimental results demonstrate that this approach outperforms baseline methods in terms of BLEU score. </abstract>
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        <url>https://aclanthology.org/2021.ranlp-1.17</url>
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        <date>2021-09</date>
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            <start>138</start>
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%0 Conference Proceedings
%T Cross-Lingual Wolastoqey-English Definition Modelling
%A Bear, Diego
%A Cook, Paul
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
%D 2021
%8 September
%I INCOMA Ltd.
%C Held Online
%F bear-cook-2021-cross
%X Definition modelling is the task of automatically generating a dictionary-style definition given a target word. In this paper, we consider cross-lingual definition generation. Specifically, we generate English definitions for Wolastoqey (Malecite-Passamaquoddy) words. Wolastoqey is an endangered, low-resource polysynthetic language. We hypothesize that sub-word representations based on byte pair encoding (Sennrich et al., 2016) can be leveraged to represent morphologically-complex Wolastoqey words and overcome the challenge of not having large corpora available for training. Our experimental results demonstrate that this approach outperforms baseline methods in terms of BLEU score. 
%U https://aclanthology.org/2021.ranlp-1.17
%P 138-146

Markdown (Informal)

[Cross-Lingual Wolastoqey-English Definition Modelling](https://aclanthology.org/2021.ranlp-1.17) (Bear & Cook, RANLP 2021)

• Cross-Lingual Wolastoqey-English Definition Modelling (Bear & Cook, RANLP 2021)

ACL

• Diego Bear and Paul Cook. 2021. Cross-Lingual Wolastoqey-English Definition Modelling. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), pages 138–146, Held Online. INCOMA Ltd..