Zobrazeno 1 - 10
of 13 387
pro vyhledávání: '"Accent"'
Autor:
Mahanbet Dzhusupov, Nurjamal Saparova
Publikováno v:
RUDN Journal of Language Studies, Semiotics and Semantics, Vol 15, Iss 3, Pp 895-913 (2024)
As a scientific discipline phono stylistics originates from the scientific studies by N.S. Trubetskoy. In the Turkic languages, phono stylistics is synharmonic. The words of the Turkic languages are marked with one of the four types of synharmonism -
Externí odkaz:
https://doaj.org/article/d99ca4e2a26c4cb6bb93595f76d95fcb
Publikováno v:
Language and Cognition, Vol 16, Pp 1718-1755 (2024)
Japanese pitch accent is phonemic, making it crucial for second-language learners to acquire. Building on theories of multimodal learning, the present study explored how auditory, visual and gestural training of Japanese pitch accent affected behavio
Externí odkaz:
https://doaj.org/article/643c5707caa449fbb53752a8f14a7d2d
Autor:
Sheppard, Hale E.1
Publikováno v:
International Tax Journal. May/Jun2020, Vol. 46 Issue 3, p29-52. 11p.
Autor:
Kaufman, Daniel, author, Himmelmann, Nikolaus P., author
Publikováno v:
The Oxford Guide to the Malayo-Polynesian Languages of Southeast Asia, 2024, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780198807353.003.0042
Autor:
Piller, Ingrid, author, Butorac, Donna, author, Farrell, Emily, author, Lising, Loy, author, Motaghi-Tabari, Shiva, author, Tetteh, Vera Williams, author
Publikováno v:
Life in a New Language, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780190084288.003.0006
Autor:
Ramjattan, Vijay A.
Publikováno v:
Career Development International, 2024, Vol. 29, Issue 3, pp. 311-322.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CDI-05-2023-0146
Autor:
Irina A. Gurtueva, Michael V. Kamensky
Publikováno v:
Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie, Vol 23, Iss 4, Pp 119-141 (2024)
The mismatch between the speech of non-native’s and the native language resources used in training, as well as acoustic and linguistic modelling of pronunciation based on a data-driven approach induce the challenging task of automatic speech recogn
Externí odkaz:
https://doaj.org/article/7143998f77a94a6fb23095c77408d3d2