Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mewlude Nijat"'
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 326 (2022)
With the emergence of deep learning, the performance of automatic speech recognition (ASR) systems has remarkably improved. Especially for resource-rich languages such as English and Chinese, commercial usage has been made feasible in a wide range of
Externí odkaz:
https://doaj.org/article/29d074a84ae54674a6bdd3a6ab94ee89
Publikováno v:
Communications in Computer and Information Science ISBN: 9789813292970
Recently, neural machine translation (NMT) has made significant achievements in multiple language pairs, and surpassed traditional statistical machine translation. However, NMT has strict restrictions on vocabulary, which leads to out-of-vocabulary (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64d0e30535430eb18782030f37435490
https://doi.org/10.1007/978-981-32-9298-7_15
https://doi.org/10.1007/978-981-32-9298-7_15
Publikováno v:
IALP
Nowadays two people who speak different languages are able to communicate with real-time translation software. This is benefited from machine translation technology. In China, there are multiple languages with great diversity. Uyghur and Chinese are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2375e0abc3b26a4ca4ed2a28cdfd758
https://doi.org/10.1109/ialp.2017.8300573
https://doi.org/10.1109/ialp.2017.8300573
Publikováno v:
IALP
The Kazakh is one of the agglutinative language with more complicated morphological changes. Kazak stem and affix extraction have important significance for Kazakh information processing. In this paper, according to the morphological structure of Kaz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f1717a8f23ffc3ba05f48804142ec6e
https://doi.org/10.1109/ialp.2017.8300586
https://doi.org/10.1109/ialp.2017.8300586