Zobrazeno 1 - 6
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pro vyhledávání: '"Ben Foley"'
Publikováno v:
The Open Handbook of Linguistic Data Management ISBN: 9780262366076
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f976c2ee291e6d761b1d3b3e614c087e
https://doi.org/10.7551/mitpress/12200.003.0041
https://doi.org/10.7551/mitpress/12200.003.0041
Autor:
Ben Foley, Zara Maxwelll-Smith
Publikováno v:
Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching.
Usage-based analyses of teacher corpora and code-switching (Boztepe, 2003) are an important next stage in understanding language acquisition. Multilingual corpora are difficult to compile and a classroom setting adds pedagogy to the mix of factors wh
Autor:
Alexis Michaud, Benjamin Galliot, Rahasya Sanders-Dwyer, Guillaume Wisniewski, Ben Foley, Laurent Besacier, Christopher Cox, Nicholas Lambourne, Guillaume Jacques, Nathan W. Hill, Séverine Guillaume, Oliver Adams, Janet Wiles, Katya Aplonova
Publikováno v:
ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages
ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States
Benjamin Galliot
Proceedings of ComputEL-4
ComputEL
ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States
Benjamin Galliot
Proceedings of ComputEL-4
ComputEL
International audience; This paper reports on progress integrating the speech recognition toolkit ESPnet into Elpis, a web front-end originally designed to provide access to the Kaldi automatic speech recognition toolkit. The goal of this work is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a72b7e65b059955e84cc12c4b46f45f
http://arxiv.org/abs/2101.03027
http://arxiv.org/abs/2101.03027
Publikováno v:
BEA@ACL
Multilingual corpora are difficult to compile and a classroom setting adds pedagogy to the mix of factors which make this data so rich and problematic to classify. In this paper, we set out methodological considerations of using automated speech reco
Publikováno v:
Proceedings of the Workshop on Computational Methods for Endangered Languages.
To reduce the annotation burden placed on linguistic fieldworkers, freeing up time for deeper linguistic analysis and descriptive work, the language documentation community has been working with machine learning researchers to investigate what assist