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        <title>Sharing Data by Language Family: Data Augmentation for Romance Language Morpheme Segmentation</title>
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            <title>Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology</title>
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            <namePart type="given">Garrett</namePart>
            <namePart type="family">Nicolai</namePart>
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        <name type="personal">
            <namePart type="given">Eleanor</namePart>
            <namePart type="family">Chodroff</namePart>
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    <abstract>This paper presents a basic character level sequence-to-sequence approach to morpheme segmentation for the following Romance languages: French, Italian, and Spanish. We experiment with adding a small set of additional linguistic features, as well as with sharing training data between sister languages for morphological categories with low performance in single language base models. We find that while the additional linguistic features were generally not helpful in this instance, data augmentation between sister languages did help to raise the scores of some individual morphological categories, but did not consistently result in an overall improvement when considering the aggregate of the categories.</abstract>
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    <identifier type="doi">10.18653/v1/2022.sigmorphon-1.12</identifier>
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%0 Conference Proceedings
%T Sharing Data by Language Family: Data Augmentation for Romance Language Morpheme Segmentation
%A Levine, Lauren
%Y Nicolai, Garrett
%Y Chodroff, Eleanor
%S Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, Washington
%F levine-2022-sharing
%X This paper presents a basic character level sequence-to-sequence approach to morpheme segmentation for the following Romance languages: French, Italian, and Spanish. We experiment with adding a small set of additional linguistic features, as well as with sharing training data between sister languages for morphological categories with low performance in single language base models. We find that while the additional linguistic features were generally not helpful in this instance, data augmentation between sister languages did help to raise the scores of some individual morphological categories, but did not consistently result in an overall improvement when considering the aggregate of the categories.
%R 10.18653/v1/2022.sigmorphon-1.12
%U https://aclanthology.org/2022.sigmorphon-1.12
%U https://doi.org/10.18653/v1/2022.sigmorphon-1.12
%P 117-123

Markdown (Informal)

[Sharing Data by Language Family: Data Augmentation for Romance Language Morpheme Segmentation](https://aclanthology.org/2022.sigmorphon-1.12) (Levine, SIGMORPHON 2022)

• Sharing Data by Language Family: Data Augmentation for Romance Language Morpheme Segmentation (Levine, SIGMORPHON 2022)

ACL

• Lauren Levine. 2022. Sharing Data by Language Family: Data Augmentation for Romance Language Morpheme Segmentation. In Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 117–123, Seattle, Washington. Association for Computational Linguistics.