3 code implementations • LREC 2018 • Christo Kirov, Ryan Cotterell, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sabrina J. Mielke, Arya D. McCarthy, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden
The Universal Morphology UniMorph project is a collaborative effort to improve how NLP handles complex morphology across the world's languages.
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.
no code implementations • CONLL 2017 • Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden
In sub-task 2, systems were given a lemma and some of its specific inflected forms, and asked to complete the inflectional paradigm by predicting all of the remaining inflected forms.
no code implementations • EACL 2017 • Christo Kirov, John Sylak-Glassman, Rebecca Knowles, Ryan Cotterell, Matt Post
A traditional claim in linguistics is that all human languages are equally expressive{---}able to convey the same wide range of meanings.
no code implementations • EACL 2017 • Ryan Cotterell, John Sylak-Glassman, Christo Kirov
Many of the world{'}s languages contain an abundance of inflected forms for each lexeme.
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.
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.