Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gulnigar Mahmut"'
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
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
Autor:
Askar Hamdulla, Zhiyuan Tang, Hongzhi Yu, Gulnigar Mahmut, Mijit Ablimit, Dong Wang, Lantian Li, Ying Shi, Shiyue Zhang, Guanyu Li, Thomas Fang Zheng, Shipeng Xu
Publikováno v:
O-COCOSDA
In spite of the rapid development of speech techniques, most of the present achievements are for a few major languages, e.g., English and Chinese. Unfortunately, most of the languages in the world are 'minority languages', in the sense that they are
Publikováno v:
APSIPA
Neural machine translation (NMT) has achieved notable performance recently. However, this approach has not been widely applied to the translation task between Chinese and Uyghur, partly due to the limited parallel data resource and the large proporti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae484abe1972e4ba6134d3a2548c3829
http://arxiv.org/abs/1706.08683
http://arxiv.org/abs/1706.08683