IPS-WASEDA system at CoNLL–SIGMORPHON 2018 shared task on morphological inflection

Rashel Fam, Yves Lepage

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

This paper presents the system submitted by IPS-WASEDA University for CoNLL–SIGMORPHON 2018 Shared Task 1: Type level inflection. We develop a system based on a holistic approach which considers whole-word form as a unit, instead of breaking them into smaller pieces (e,g. morphemes) like the baseline systems does. We also implement an encoder-decoder model which has recently become the new standard in many natural language processing (NLP) tasks. The results show that the neural approach outperforms the baseline and our holistic approach on bigger resources settings. The use of data augmentation helps to improve the performance of the model in lower resources settings, although it still cannot beat the other systems. In the end, for the low resources setting, our holistic approach performs best in comparison to the baseline and the neural approach (even with data augmentation).

本文言語English
ホスト出版物のタイトルCoNLL 2018 - Proceedings of the CoNLL-SIGMORPHON 2018 Shared Task
ホスト出版物のサブタイトルUniversal Morphological Reinflection
出版社Association for Computational Linguistics (ACL)
ページ33-42
ページ数10
ISBN(電子版)9781948087834
出版ステータスPublished - 2018 1 1
イベント2018 CoNLL-SIGMORPHON Shared Task: Universal Morphological Reinflection, CoNLL 2018 - Brussels, Belgium
継続期間: 2018 10 31 → …

出版物シリーズ

名前CoNLL 2018 - Proceedings of the CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection

Conference

Conference2018 CoNLL-SIGMORPHON Shared Task: Universal Morphological Reinflection, CoNLL 2018
CountryBelgium
CityBrussels
Period18/10/31 → …

ASJC Scopus subject areas

  • Linguistics and Language
  • Artificial Intelligence
  • Human-Computer Interaction

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