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The CoNLL-SIGMORPHON 2017 shared task on supervised morphological generation required systems to be trained and tested in each of 52 typologically diverse languages.
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Farrell Ackerman, James P. Blevins, and Robert Malouf. 2009 · 2009
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Words and paradigms bit by bit: An information-theoretic approach to the processing of inflection and derivation
Petar Milin, Victor Kuperman, Aleksandar Kostić, and R. Harald Baayen. 2009 · 2009
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Mikko Kurimo, Sami Virpioja, Ville Turunen, and Krista Lagus. 2010 · 2010
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Fast development of basic NLP tools: Towards a lexicon and a POS tagger for Kurmanji Kurdish
Géraldine Walther, Benoît Sagot, and Karën Fort. 2010 · 2010
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Non-canonical inflection : data, formalisation and complexity measures
Benoît Sagot and Géraldine Walther. 2011 · 2011
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Granularity and the acquisition of grammatical gender: How order-of-acquisition affects what gets learned
Inbal Arnon and Michael Ramscar. 2012 · 2012
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Morphological organization: The low conditional entropy conjecture
Farrell Ackerman and Robert Malouf. 2013 · 2013
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Sidestepping the combinatorial explosion: Towards a processing model based on discriminative learning
R. Harald Baayen, Peter Hendrix, and Michael Ramscar. 2013 · 2013
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The information-theoretic turn
James Peter Blevins. 2013 · 2013
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Supervised learning of complete morphological paradigms
Greg Durrett and John DeNero. 2013 · 2013
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Stem spaces and predictibility in verbal inflection
Fabio Montermini and Olivier Bonami. 2013 · 2013
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Uncovering the inner architecture of Khaling verbal morphology
Géraldine Walther, Guillaume Jacques, and Benoît Sagot. 2013 · 2013
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Semi-supervised learning of morphological paradigms and lexicons
Malin Ahlberg, Markus Forsberg, and Mans Hulden. 2014 · 2014
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Morphological inflection generation using character sequence to sequence learning
Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, and Chris Dyer. 2016 · 2016
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Single-model encoder-decoder with explicit morphological representation for reinflection
Katharina Kann and Hinrich Schütze. 2016 · 2016
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Very-large scale parsing and normalization of Wiktionary morphological paradigms
Christo Kirov, John Sylak-Glassman, Roger Que, and David Yarowsky. 2016 · 2016
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Morphological reinflection with conditional random fields and unsupervised features
Ling Liu and Lingshuang Jack Mao. 2016 · 2016
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Generating morphological paradigms with a recurrent neural network
Robert Malouf. 2016 · 2016
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Weighting finite-state transductions with neural context
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Junyoung Chung, Çaglar Gülçehre, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Stochastic contextual edit distance and probabilistic FSTs
Ryan Cotterell, Nanyun Peng, and Jason Eisner. 2014 · 2014
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Morphological segmentation for keyword spotting
Karthik Narasimhan, Damianos Karakos, Richard Schwartz, Stavros Tsakalidis, and Regina Barzilay. 2014 · 2014
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Implicative organization facilitates morphological learning
Scott Seyfarth, Farrell Ackerman, and Robert Malouf. 2014 · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
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Paradigm classification in supervised learning of morphology
Malin Ahlberg, Markus Forsberg, and Mans Hulden. 2015 · 2015
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Pushpendre Rastogi, Ryan Cotterell, and Jason Eisner. 2016 · 2016
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Remote elicitation of inflectional paradigms to seed morphological analysis in low-resource languages
John Sylak-Glassman, Christo Kirov, and David Yarowsky. 2016 · 2016
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Morphological inflection generation with hard monotonic attention
Roee Aharoni and Yoav Goldberg. 2017 · 2017
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Training data augmentation for low-resource morphological inflection
Toms Bergmanis, Katharina Kann, Hinrich Schütze, and Sharon Goldwater. 2017 · 2017
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ISI at the SIGMORPHON 2017 shared task on morphological reinflection
Abhisek Chakrabarty and Utpal Garain. 2017 · 2017
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Context sensitive lemmatization using two successive bidirectional gated recurrent networks
Abhisek Chakrabarty, Arun Onkar Pandit, and Utpal Garain. 2017 · 2017
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Neural graphical models over strings for principal parts morphological paradigm completion
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The LMU system for the CoNLL-SIGMORPHON 2017 shared task on universal morphological reinflection
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Align and copy: UZH at SIGMORPHON 2017 shared task for morphological reinflection
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Garrett Nicolai, Bradley Hauer, Mohammad Motallebi, Saeed Najafi, and Grzegorz Kondrak. 2017 · 2017
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SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological inflection with attentional sequence-to-sequence models
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Seq2seq for morphological reinflection: When deep learning fails
Hajime Senuma and Akiko Aizawa. 2017 · 2017
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Data augmentation for morphological reinflection
Miikka Silfverberg, Adam Wiemerslage, Ling Liu, and Lingshuang Jack Mao. 2017 · 2017
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Experiments on morphological reinflection: CoNLL-2017 shared task
Akhilesh Sudhakar and Anil Kumar Singh. 2017 · 2017
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Morphological inflection generation with multi-space variational encoder-decoders
Chunting Zhou and Graham Neubig. 2017a · 2017
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Character sequence-to-sequence model with global attention for universal morphological reinflection
Qile Zhu, Yanjun Li, and Xiaolin Li. 2017 · 2017
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