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CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages
Ryan Cotterell
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Christo Kirov
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John Sylak-Glassman
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Géraldine Walther
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Ekaterina Vylomova
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Patrick Xia
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Manaal Faruqui
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Sandra Kübler
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David Yarowsky
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Jason Eisner
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Mans Hulden
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Paper Details:
Month: August
Year: 2017
Location: Vancouver
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
Challenges of language technologies for the indigenous languages of the Americas
Manuel Mager
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Ximena Gutierrez-Vasques
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Gerardo Sierra
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Ivan Meza-Ruiz
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A Computational Model for the Linguistic Notion of Morphological Paradigm
Miikka Silfverberg
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Ling Liu
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Mans Hulden
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Paradigm Completion for Derivational Morphology
Ryan Cotterell
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Ekaterina Vylomova
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Huda Khayrallah
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Christo Kirov
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David Yarowsky
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Cross-lingual Character-Level Neural Morphological Tagging
Ryan Cotterell
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Georg Heigold
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An Encoder-Decoder Approach to the Paradigm Cell Filling Problem
Miikka Silfverberg
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Mans Hulden
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Training Data Augmentation for Low-Resource Morphological Inflection
Toms Bergmanis
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Katharina Kann
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Hinrich Schütze
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Sharon Goldwater
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Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
Peter Makarov
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Tatiana Ruzsics
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Simon Clematide
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ISI at the SIGMORPHON 2017 Shared Task on Morphological Reinflection
Abhisek Chakrabarty
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Utpal Garain
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If you can’t beat them, join them: the University of Alberta system description
Garrett Nicolai
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Bradley Hauer
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Mohammad Motallebi
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Saeed Najafi
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Grzegorz Kondrak
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Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection
Qile Zhu
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Yanjun Li
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Xiaolin Li
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Data Augmentation for Morphological Reinflection
Miikka Silfverberg
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Adam Wiemerslage
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Ling Liu
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Lingshuang Jack Mao
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Seq2seq for Morphological Reinflection: When Deep Learning Fails
Hajime Senuma
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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
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Johannes Bjerva
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Weakly supervised learning of allomorphy
Miikka Silfverberg
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Mans Hulden
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Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models
Huiming Jin
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Katharina Kann
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Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models
Katharina Kann
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Hinrich Schütze
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The OSU Realizer for SRST ‘18: Neural Sequence-to-Sequence Inflection and Incremental Locality-Based Linearization
David King
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Michael White
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A Neural Morphological Analyzer for Arapaho Verbs Learned from a Finite State Transducer
Sarah Moeller
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Ghazaleh Kazeminejad
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Andrew Cowell
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Mans Hulden
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Automatic Glossing in a Low-Resource Setting for Language Documentation
Sarah Moeller
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Mans Hulden
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String Transduction with Target Language Models and Insertion Handling
Garrett Nicolai
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Saeed Najafi
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Grzegorz Kondrak
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Complementary Strategies for Low Resourced Morphological Modeling
Alexander Erdmann
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Nizar Habash
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Marrying Universal Dependencies and Universal Morphology
Arya D. McCarthy
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Miikka Silfverberg
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Ryan Cotterell
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Mans Hulden
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David Yarowsky
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https://github.com/sigmorphon/
https://en.wiktionary.org/(08-2016
https://gforge.inria.fr/projects/
http://www.sigmorphon
Field Of Study
Linguistic Trends
Syntax
Morphology
Typology
Task
Machine Translation
Approach
Unsupervised Learning
Language
Multilingual
English
Hindi
Urdu
Spanish
French
Arabic
Hebrew
Semitic
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