Improving sequence to sequence learning for morphological inflection generation: The biu-mit systems for the SIGMORPHON 2016 shared task for morphological reinflection

Roee Aharoni, Yoav Goldberg, Yonatan Belinkov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

26 Scopus citations

Abstract

Morphological reinflection is the task of generating a target form given a source form and the morpho-syntactic attributes of the target (and, optionally, of the source). This work presents the submission of Bar Ilan University and the Massachusetts Institute of Technology for the morphological reinflection shared task held at SIGMORPHON 2016. The submission includes two recurrent neural network architectures for learning morphological reinflection from incomplete inflection tables while using several novel ideas for this task: morpho-syntactic attribute embeddings, modeling the concept of templatic morphology, bidirectional input character representations and neural discriminative string transduction. The reported results for the proposed models over the ten languages in the shared task bring this submission to the second/third place (depending on the language) on all three sub-tasks out of eight participating teams, while training only on the Restricted category data.

Original languageEnglish
Title of host publicationProceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, SIGMORPHON 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
EditorsMicha Elsner, Sandra Kubler
PublisherAssociation for Computational Linguistics (ACL)
Pages41-48
Number of pages8
ISBN (Electronic)9781945626081
DOIs
StatePublished - 2016
Event14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, SIGMORPHON 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Berlin, Germany
Duration: 11 Aug 2016 → …

Publication series

NameProceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, SIGMORPHON 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016

Conference

Conference14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, SIGMORPHON 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
Country/TerritoryGermany
CityBerlin
Period11/08/16 → …

Bibliographical note

Publisher Copyright:
© 2016 Association for Computational Linguistics.

Funding

We thank Manaal Faruqui for sharing his code with us. This work was supported by the Intel Collaborative Research Institute for Computational Intelligence (ICRI-CI).

FundersFunder number
Intel Collaboration Research Institute for Computational Intelligence

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