Search Results for author: Christo Kirov

Found 21 papers, 4 papers with code

Structured abbreviation expansion in context

no code implementations Findings (EMNLP) 2021 Kyle Gorman, Christo Kirov, Brian Roark, Richard Sproat

Ad hoc abbreviations are commonly found in informal communication channels that favor shorter messages.

Spelling Correction

The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection

no code implementations WS 2019 Arya D. McCarthy, Ekaterina Vylomova, Shijie Wu, Chaitanya Malaviya, Lawrence Wolf-Sonkin, Garrett Nicolai, Christo Kirov, Miikka Silfverberg, Sabrina J. Mielke, Jeffrey Heinz, Ryan Cotterell, Mans Hulden

The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual analysis in morphology examined transfer learning of inflection between 100 language pairs, as well as contextual lemmatization and morphosyntactic description in 66 languages.

Cross-Lingual Transfer Lemmatization +3

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.

Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate

3 code implementations TACL 2018 Christo Kirov, Ryan Cotterell

We suggest that the empirical performance of modern networks warrants a re-examination of their utility in linguistic and cognitive modeling.

On the Diachronic Stability of Irregularity in Inflectional Morphology

no code implementations23 Apr 2018 Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner

Many languages' inflectional morphological systems are replete with irregulars, i. e., words that do not seem to follow standard inflectional rules.

Paradigm Completion for Derivational Morphology

no code implementations EMNLP 2017 Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky

The generation of complex derived word forms has been an overlooked problem in NLP; we fill this gap by applying neural sequence-to-sequence models to the task.

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

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

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