Search Results for author: John Sylak-Glassman

Found 9 papers, 1 papers with code

The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection

no code implementations CONLL 2018 Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Arya D. McCarthy, Katharina Kann, Sabrina J. Mielke, Garrett Nicolai, Miikka Silfverberg, David Yarowsky, Jason Eisner, Mans Hulden

Apart from extending the number of languages involved in earlier supervised tasks of generating inflected forms, this year the shared task also featured a new second task which asked participants to inflect words in sentential context, similar to a cloze task.

LEMMA Task 2

Remote Elicitation of Inflectional Paradigms to Seed Morphological Analysis in Low-Resource Languages

no code implementations LREC 2016 John Sylak-Glassman, Christo Kirov, David Yarowsky

We present methods inspired by linguistic fieldwork for gathering inflectional paradigm data in a machine-readable, interoperable format from remotely-located speakers of any language.

Morphological Analysis

Very-large Scale Parsing and Normalization of Wiktionary Morphological Paradigms

no code implementations LREC 2016 Christo Kirov, John Sylak-Glassman, Roger Que, David Yarowsky

Wiktionary is a large-scale resource for cross-lingual lexical information with great potential utility for machine translation (MT) and many other NLP tasks, especially automatic morphological analysis and generation.

Machine Translation Morphological Analysis +1

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