Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection

Mans Hulden (Editor)


Anthology ID:
K17-2
Month:
August
Year:
2017
Address:
Vancouver
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
URL:
https://aclanthology.org/K17-2
DOI:
10.18653/v1/K17-2
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PDF:
https://aclanthology.org/K17-2.pdf

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Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
Mans Hulden

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CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages
Ryan Cotterell | Christo Kirov | John Sylak-Glassman | Géraldine Walther | Ekaterina Vylomova | Patrick Xia | Manaal Faruqui | Sandra Kübler | David Yarowsky | Jason Eisner | Mans Hulden

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Training Data Augmentation for Low-Resource Morphological Inflection
Toms Bergmanis | Katharina Kann | Hinrich Schütze | Sharon Goldwater

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The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection
Katharina Kann | Hinrich Schütze

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Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
Peter Makarov | Tatiana Ruzsics | Simon Clematide

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Morphological Inflection Generation with Multi-space Variational Encoder-Decoders
Chunting Zhou | Graham Neubig

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ISI at the SIGMORPHON 2017 Shared Task on Morphological Reinflection
Abhisek Chakrabarty | Utpal Garain

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Experiments on Morphological Reinflection: CoNLL-2017 Shared Task
Akhilesh Sudhakar | Anil Kumar Singh

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If you can’t beat them, join them: the University of Alberta system description
Garrett Nicolai | Bradley Hauer | Mohammad Motallebi | Saeed Najafi | Grzegorz Kondrak

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Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection
Qile Zhu | Yanjun Li | Xiaolin Li

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Data Augmentation for Morphological Reinflection
Miikka Silfverberg | Adam Wiemerslage | Ling Liu | Lingshuang Jack Mao

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Seq2seq for Morphological Reinflection: When Deep Learning Fails
Hajime Senuma | Akiko Aizawa

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SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological Inflection with Attentional Sequence-to-Sequence Models
Robert Östling | Johannes Bjerva