Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Lexical data"'
Autor:
Yunfan Lai, Johann-Mattis List
Publikováno v:
Open Research Europe, Vol 3 (2023)
As one of the most morphologically conservative branches of the Sino-Tibetan language family, most of the Rgyalrongic languages are still understudied and poorly understood, not to mention their vulnerable or endangered status. It is therefore import
Externí odkaz:
https://doaj.org/article/c654636968784cc1b86004139bc7ce2c
Publikováno v:
IEEE Access, Vol 11, Pp 113769-113789 (2023)
Though acoustic speech emotion recognition has been studied for a while, bimodal speech emotion recognition using both acoustic and text has gained momentum since speech emotion recognition doesn’t only involve the acoustic modality. However, there
Externí odkaz:
https://doaj.org/article/2ffaebbed96a4e4b8c7d0e7836fb64f0
Autor:
Yunfan Lai, Johann-Mattis List
Publikováno v:
Open Research Europe, Vol 3 (2023)
As one of the most morphologically conservative branches of the Sino-Tibetan language family, most of the Rgyalrongic languages are still understudied and poorly understood, not to mention their vulnerable or endangered status. It is therefore import
Externí odkaz:
https://doaj.org/article/e1650e48bfb741d4b4d94b9a4218d464
Publikováno v:
Open Research Europe, Vol 2 (2023)
Language comparison requires user-friendly tools that facilitate the standardization of linguistic data. We present two resources built on the basis of a standardized cross-linguistic format and show how the data is curated and extended. The first re
Externí odkaz:
https://doaj.org/article/02ce25a95ce94189bf86767bcd3b4692
Publikováno v:
Open Research Europe, Vol 2 (2023)
Language comparison requires user-friendly tools that facilitate the standardization of linguistic data. We present two resources built on the basis of a standardized cross-linguistic format and show how the data is curated and extended. The first re
Externí odkaz:
https://doaj.org/article/379af0213e4e4e5f879f21ae6a227d64
Akademický článek
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Publikováno v:
Informatics, Vol 6, Iss 3, p 34 (2019)
Different types of uncertainties occur in almost all datasets and are an inherent property of data across different academic disciplines, including digital humanities (DH). In this paper, we address, demonstrate and analyse spatio-temporal uncertaint
Externí odkaz:
https://doaj.org/article/5de845a2605f4ec5a34ef7ad9f55de96
Publikováno v:
Cognitive Studies | Études cognitives. (13):161-170
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=43977
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage. (I):140-150
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=186031
Akademický článek
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