@inproceedings{mccarthy-etal-2019-sigmorphon,
title = "The {SIGMORPHON} 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection",
author = "McCarthy, Arya D. and
Vylomova, Ekaterina and
Wu, Shijie and
Malaviya, Chaitanya and
Wolf-Sonkin, Lawrence and
Nicolai, Garrett and
Kirov, Christo and
Silfverberg, Miikka and
Mielke, Sabrina J. and
Heinz, Jeffrey and
Cotterell, Ryan and
Hulden, Mans",
editor = "Nicolai, Garrett and
Cotterell, Ryan",
booktitle = "Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-4226",
doi = "10.18653/v1/W19-4226",
pages = "229--244",
abstract = "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. The first task evolves past years{'} inflection tasks by examining transfer of morphological inflection knowledge from a high-resource language to a low-resource language. This year also presents a new second challenge on lemmatization and morphological feature analysis in context. All submissions featured a neural component and built on either this year{'}s strong baselines or highly ranked systems from previous years{'} shared tasks. Every participating team improved in accuracy over the baselines for the inflection task (though not Levenshtein distance), and every team in the contextual analysis task improved on both state-of-the-art neural and non-neural baselines.",
}
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<abstract>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. The first task evolves past years’ inflection tasks by examining transfer of morphological inflection knowledge from a high-resource language to a low-resource language. This year also presents a new second challenge on lemmatization and morphological feature analysis in context. All submissions featured a neural component and built on either this year’s strong baselines or highly ranked systems from previous years’ shared tasks. Every participating team improved in accuracy over the baselines for the inflection task (though not Levenshtein distance), and every team in the contextual analysis task improved on both state-of-the-art neural and non-neural baselines.</abstract>
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%0 Conference Proceedings
%T The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection
%A McCarthy, Arya D.
%A Vylomova, Ekaterina
%A Wu, Shijie
%A Malaviya, Chaitanya
%A Wolf-Sonkin, Lawrence
%A Nicolai, Garrett
%A Kirov, Christo
%A Silfverberg, Miikka
%A Mielke, Sabrina J.
%A Heinz, Jeffrey
%A Cotterell, Ryan
%A Hulden, Mans
%Y Nicolai, Garrett
%Y Cotterell, Ryan
%S Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F mccarthy-etal-2019-sigmorphon
%X 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. The first task evolves past years’ inflection tasks by examining transfer of morphological inflection knowledge from a high-resource language to a low-resource language. This year also presents a new second challenge on lemmatization and morphological feature analysis in context. All submissions featured a neural component and built on either this year’s strong baselines or highly ranked systems from previous years’ shared tasks. Every participating team improved in accuracy over the baselines for the inflection task (though not Levenshtein distance), and every team in the contextual analysis task improved on both state-of-the-art neural and non-neural baselines.
%R 10.18653/v1/W19-4226
%U https://aclanthology.org/W19-4226
%U https://doi.org/10.18653/v1/W19-4226
%P 229-244
Markdown (Informal)
[The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection](https://aclanthology.org/W19-4226) (McCarthy et al., ACL 2019)
ACL
- 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, and Mans Hulden. 2019. The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection. In Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 229–244, Florence, Italy. Association for Computational Linguistics.