Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Garrett Nicolai"'
Publikováno v:
Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7ef7006fdc0beab7cb55629c3d477a7
https://doi.org/10.18653/v1/2022.sigmorphon-1.23
https://doi.org/10.18653/v1/2022.sigmorphon-1.23
Autor:
Clarissa Forbes, Farhan Samir, Bruce Oliver, Changbing Yang, Edith Coates, Garrett Nicolai, Miikka Silfverberg
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb42495345265bd95542e284be7ca6ba
https://doi.org/10.18653/v1/2022.findings-acl.167
https://doi.org/10.18653/v1/2022.findings-acl.167
Autor:
Alexander Erdmann, Adam Wiemerslage, Arya D. McCarthy, Mans Hulden, Miikka Silfverberg, Garrett Nicolai, Katharina Kann, Manex Agirrezabal
Publikováno v:
Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.
We describe the second SIGMORPHON shared task on unsupervised morphology: the goal of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering is to cluster word types from a raw text corpus into paradigms. To this end, we re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad93c150570d00d741d59f59483f1448
https://doi.org/10.18653/v1/2021.sigmorphon-1.8
https://doi.org/10.18653/v1/2021.sigmorphon-1.8
Publikováno v:
Proceedings of the Workshop on Computational Methods for Endangered Languages. 1
We present an extension to the JHU Bible corpus, collecting and normalizing more than thirty Bible translations in thirty Indigenous languages of North America. These exhibit a wide variety of interesting syntactic and morphological phenomena that ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e03a3bafe70824fce00dd3850d6ecd8e
https://doi.org/10.33011/computel.v1i.949
https://doi.org/10.33011/computel.v1i.949
Publikováno v:
Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.
This paper presents a finite-state morphological analyzer for the Gitksan language. The analyzer draws from a 1250-token Eastern dialect wordlist. It is based on finite-state technology and additionally includes two extensions which can provide analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdf6a6c303e38dcc765e8585ddc26a0f
https://doi.org/10.18653/v1/2021.sigmorphon-1.21
https://doi.org/10.18653/v1/2021.sigmorphon-1.21
Autor:
Garrett Nicolai, Roger Yu-Hsiang Lo
Publikováno v:
Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.
This paper documents the UBC Linguistics team’s approach to the SIGMORPHON 2021 Grapheme-to-Phoneme Shared Task, concentrating on the low-resource setting. Our systems expand the baseline model with simple modifications informed by syllable structu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd10a72abe3ab2683a9d9856cd4a2040
https://doi.org/10.18653/v1/2021.sigmorphon-1.15
https://doi.org/10.18653/v1/2021.sigmorphon-1.15
Publikováno v:
Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.
This paper describes the submission of the CU-UBC team for the SIGMORPHON 2021 Shared Task 2: Unsupervised morphological paradigm clustering. Our system generates paradigms using morphological transformation rules which are discovered from raw data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::305cce416a656e97248ea7b5a80e1699
https://doi.org/10.18653/v1/2021.sigmorphon-1.11
https://doi.org/10.18653/v1/2021.sigmorphon-1.11
Autor:
Miikka Silfverberg, Garrett Nicolai
Publikováno v:
COLING
Morphological inflection, like many sequence-to-sequence tasks, sees great performance from recurrent neural architectures when data is plentiful, but performance falls off sharply in lower-data settings. We investigate one aspect of neural seq2seq m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44e434fd08926ea6f4f7b8f6643507f7
https://doi.org/10.18653/v1/2020.coling-main.255
https://doi.org/10.18653/v1/2020.coling-main.255
Publikováno v:
ACL
A range of studies have concluded that neural word prediction models can distinguish grammatical from ungrammatical sentences with high accuracy. However, these studies are based primarily on monolingual evidence from English. To investigate how thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc16448510e3919f926d6b9b1d17ceab
https://doi.org/10.18653/v1/2020.acl-main.490
https://doi.org/10.18653/v1/2020.acl-main.490
Autor:
Sebastian J. Mielke, Ryan Cotterell, Arya D. McCarthy, Chaitanya Malaviya, Garrett Nicolai, Jeffrey Heinz, Lawrence Wolf-Sonkin, Mans Hulden, Christo Kirov, Shijie Wu, Ekaterina Vylomova, Miikka Silfverberg
Publikováno v:
Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology
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.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b554b67848ec7928a6bf7027645b73a
https://doi.org/10.18653/v1/w19-4226
https://doi.org/10.18653/v1/w19-4226