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UZH at CoNLL--SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection


Makarov, Peter; Clematide, Simon (2018). UZH at CoNLL--SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection. In: Proceedings of the CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection, Brussels, 1 October 2018 - 1 October 2018.

Abstract

This paper presents the submissions bythe University of Zurich to the CoNLL–SIGMORPHON 2018 Shared Task on Univer-sal Morphological Reinflection. Our system isbased on the prior work on neural transition-based transduction (Makarov and Clematide,2018b; Aharoni and Goldberg, 2017). Unlikethe prior work, we train the model in a fullyend-to-end fashion—without the need for anexternal character aligner—within the frame-work of imitation learning. In the type-levelmorphological inflection generation challenge(Task I), our five-strong ensemble outperformsall competitors in all three data-size settings.In the token-level inflection generation chal-lenge (Task II), our single model achieves thebest results on three out of four sub-tasks thatwe have participated in

Abstract

This paper presents the submissions bythe University of Zurich to the CoNLL–SIGMORPHON 2018 Shared Task on Univer-sal Morphological Reinflection. Our system isbased on the prior work on neural transition-based transduction (Makarov and Clematide,2018b; Aharoni and Goldberg, 2017). Unlikethe prior work, we train the model in a fullyend-to-end fashion—without the need for anexternal character aligner—within the frame-work of imitation learning. In the type-levelmorphological inflection generation challenge(Task I), our five-strong ensemble outperformsall competitors in all three data-size settings.In the token-level inflection generation chal-lenge (Task II), our single model achieves thebest results on three out of four sub-tasks thatwe have participated in

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Scopus Subject Areas:Social Sciences & Humanities > Linguistics and Language
Physical Sciences > Artificial Intelligence
Physical Sciences > Human-Computer Interaction
Language:English
Event End Date:1 October 2018
Deposited On:03 Feb 2021 07:09
Last Modified:04 Feb 2021 21:00
Publisher:Association for Computational Linguistics
OA Status:Hybrid
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.18653/v1/k18-3008

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