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Even for common NLP tasks, sufficient supervision is not available in many languages -- morphological tagging is no exception.
Dropout: A simple way to prevent neural networks from overfitting
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Cross-lingual morphological tagging for low-resource languages
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Jan Hajič and Barbora Hladká. 1998 · 1998
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Archi (Caucasian – Daghestanian)
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Georg Heigold, Vincent Vanhoucke, Andrew Senior, Patrick Nguyen, Marc’Aurelio Ranzato, Matthieu Devin, and Jeffrey Dean. 2013 · 2013
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Efficient higher-order CRFs for morphological tagging
Thomas Müller, Helmut Schmid, and Hinrich Schütze. 2013 · 2013
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Learning character-level representations for part-of-speech tagging
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Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, and Chris Dyer. 2016 · 2016
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Google’s multilingual neural machine translation system: Enabling zero-shot translation
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The CoNLL-SIGMORPHON 2017 shared task: Universal morphological reinflection in 52 languages
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