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Chinese utterance segmentation in spoken language translation
Zong, CQ; Ren, FJ; Gelbukh, A
Source PublicationCOMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS
2003
Volume2588Pages:516-525
SubtypeArticle
AbstractThis paper presents an approach to segmenting Chinese utterances for a spoken language translation (SLT) system in which Chinese speech is the source input. We propose this approach as a supplement to the function of sentence boundary detection in speech recognition, in order to identify the boundaries of simple sentences and fixed expressions within the speech recognition results of a Chinese input utterance. In this approach, the plausible boundaries of split units are determined using several methods, including keyword detection, pattern matching, and syntactic analysis. Preliminary experimental results have shown that this approach is helpful in improving the performance of SLT systems.
WOS HeadingsScience & Technology ; Social Sciences ; Technology
Indexed ByISTP ; ISSHP ; SCI
Language英语
WOS Research AreaComputer Science ; Linguistics
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Language & Linguistics
WOS IDWOS:000182492300055
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9916
Collection09年以前成果
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Univ Tokushima, Fac Engn, Dept Informat Sci & Intelligent Syst, Tokushima 7708506, Japan
Recommended Citation
GB/T 7714
Zong, CQ,Ren, FJ,Gelbukh, A. Chinese utterance segmentation in spoken language translation[J]. COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS,2003,2588:516-525.
APA Zong, CQ,Ren, FJ,&Gelbukh, A.(2003).Chinese utterance segmentation in spoken language translation.COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS,2588,516-525.
MLA Zong, CQ,et al."Chinese utterance segmentation in spoken language translation".COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS 2588(2003):516-525.
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