XJIPC OpenIR  > 多语种信息技术研究室
Detection of loan words in uyghur texts
Mi, Chenggang1; Yang, Yating1; Wang, Lei1; Li, Xiao1; Dalielihan, Kamali1
2014
Source PublicationCommunications in Computer and Information Science
Volume496Issue:12Pages:103-112
AbstractFor low-resource languages like Uyghur, data sparseness is always a serious problem in related information processing, especially in some tasks based on parallel texts. To enrich bilingual resources, we detect Chinese and Russian loan words from Uyghur texts according to phonetic similarities between a loan word and its corresponding donor language word. In this paper, we propose a novel approach based on perceptron model to discover loan words from Uyghur texts, which consider the detection of loan words in Uyghur as a classification procedure. The experimental results show that our method is capable of detecting the Chinese and Russian loan words in Uyghur Texts effectively
KeywordLoan Words Detection Phonetic Similarity Uyghur Perceptron-based Model
Indexed ByEI
Document Type期刊论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/4912
Collection多语种信息技术研究室
Affiliation1.Xinjiang Technical Institute of Physics & Chemistry of Chinese Academy of Sciences, Urumqi, Xinjiang, China
2.University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Mi, Chenggang,Yang, Yating,Wang, Lei,et al. Detection of loan words in uyghur texts[J]. Communications in Computer and Information Science,2014,496(12):103-112.
APA Mi, Chenggang,Yang, Yating,Wang, Lei,Li, Xiao,&Dalielihan, Kamali.(2014).Detection of loan words in uyghur texts.Communications in Computer and Information Science,496(12),103-112.
MLA Mi, Chenggang,et al."Detection of loan words in uyghur texts".Communications in Computer and Information Science 496.12(2014):103-112.
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