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        <title>The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2</title>
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            <title>Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology</title>
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            <namePart type="given">Garrett</namePart>
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    <abstract>We describe the NYU-CUBoulder systems for the SIGMORPHON 2020 Task 0 on typologically diverse morphological inflection and Task 2 on unsupervised morphological paradigm completion. The former consists of generating morphological inflections from a lemma and a set of morphosyntactic features describing the target form. The latter requires generating entire paradigms for a set of given lemmas from raw text alone. We model morphological inflection as a sequence-to-sequence problem, where the input is the sequence of the lemma’s characters with morphological tags, and the output is the sequence of the inflected form’s characters. First, we apply a transformer model to the task. Second, as inflected forms share most characters with the lemma, we further propose a pointer-generator transformer model to allow easy copying of input characters.</abstract>
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    <identifier type="doi">10.18653/v1/2020.sigmorphon-1.8</identifier>
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%0 Conference Proceedings
%T The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2
%A Singer, Assaf
%A Kann, Katharina
%Y Nicolai, Garrett
%Y Gorman, Kyle
%Y Cotterell, Ryan
%S Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F singer-kann-2020-nyu
%X We describe the NYU-CUBoulder systems for the SIGMORPHON 2020 Task 0 on typologically diverse morphological inflection and Task 2 on unsupervised morphological paradigm completion. The former consists of generating morphological inflections from a lemma and a set of morphosyntactic features describing the target form. The latter requires generating entire paradigms for a set of given lemmas from raw text alone. We model morphological inflection as a sequence-to-sequence problem, where the input is the sequence of the lemma’s characters with morphological tags, and the output is the sequence of the inflected form’s characters. First, we apply a transformer model to the task. Second, as inflected forms share most characters with the lemma, we further propose a pointer-generator transformer model to allow easy copying of input characters.
%R 10.18653/v1/2020.sigmorphon-1.8
%U https://aclanthology.org/2020.sigmorphon-1.8
%U https://doi.org/10.18653/v1/2020.sigmorphon-1.8
%P 90-98

Markdown (Informal)

[The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2](https://aclanthology.org/2020.sigmorphon-1.8) (Singer & Kann, SIGMORPHON 2020)

• The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2 (Singer & Kann, SIGMORPHON 2020)

ACL

• Assaf Singer and Katharina Kann. 2020. The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2. In Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 90–98, Online. Association for Computational Linguistics.