Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tin Shing Chiu"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319271934
CLSW
CLSW
The Chinese language is evolving over the centuries. In order to study the changes of Chinese language using computational methods, segmentation and PoS tagging of Chinese are essential. However, segmentation and PoS tagging methods developed for Mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d213b5aa7c84d55badd58159ffd5cfdf
https://doi.org/10.1007/978-3-319-27194-1_44
https://doi.org/10.1007/978-3-319-27194-1_44
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642363368
CLSW
CLSW
The quality of text segmentation and annotation plays a significant role in Natural Language Processing especially in downstream applications. This paper presents the specification for word segmentation and named entity annotation targeted for novels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64e7f2d5f78becd73ece0b73547e5390
https://doi.org/10.1007/978-3-642-36337-5_29
https://doi.org/10.1007/978-3-642-36337-5_29
Publikováno v:
IALP
This paper presents a word segmentation and named entity tagging project which annotates Chinese novels in the Ming and Qing dynasties. Computer-aided tools are used to assist the annotation. The focus of this paper will be on the quality assurance m
Autor:
Weiping Ye, Tin Shing Chiu, Guangguang Ma, Wenli Zhou, Xin Zhang, Qiao Li, Jiping Wan, Qin Lu
Publikováno v:
Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy ISBN: 9783642008306
ICCPOL
ICCPOL
A computer assisted pronunciation teaching system (CAPT) is a fundamental component in a computer assisted language learning system (CALL). A speech recognition based CAPT system often requires a large amount of speech data to train the incorrect pho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3808e50a3f4431ca602002fccbf35cae
https://doi.org/10.1007/978-3-642-00831-3_24
https://doi.org/10.1007/978-3-642-00831-3_24