[1]CHEN K J, LIU S H. Word identification for Mandarin Chinese sentences[C]// COLING '92: Proceedings of the 14th Conference on Computational Linguistics. New York: ACM Press,1992:101-107.[2]CHENG K S, YONG G H, WONG K F. A study on word-based and integral-bit Chinese text compression algorithms [J]. Journal of the American Society for Information Science, 1999, 50(3):218-228.[3]XUE N W. Chinese word segmentation as character tagging [J]. International Journal of Computational Linguistics and Chinese Language Processing, 2003,8(1): 29-48.[4]TSENG H, HANG P C, ANDREW G, et al. A conditional random field word segmenter for sighan bakeoff 2005[C]// Proceedings of the Fourth SIGHAN Workshop. Jeju Island, Korea: Association of Computational Linguistics, 2005:168-171.[5]ZHANG Y, CLARK S. Chinese segmentation with a word-based perceptron algorithm[C]// Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics. Prague, Czech Republic: Association of Computational Linguistics, 2007:840-847.[6]孙茂松,肖明,邹嘉彦. 基于无指导学习策略的无词表条件下的汉语自动分词[J]. 计算机学报,2004,27(6):736-742.[7]JIN Z H, TANAKA-ISHII K. Unsupervised segmentation of Chinese text by use of branching entropy[C]// Proceedings of COLING/ACL 2006. Sidney, Australia: Association for Computational Linguistics, 2006:428-435.[8]KITYZ C Y, WIKLS Y. Unsupervised learning of word boundary with description length gain[C]// Proceedings of the CoNLL99 ACL Workshop. Bergen, Norway: Association for Computational Linguistics, 1999:1-6.[9]SUN W W, XU J. Enhancing Chinese word segmentation using unlabeled data[C]// Proceedings of 2011 Conference on Empirical Methods in Natural Language Processing. Edinburgh, Scotland, UK: Association for Computational Linguistics, 2011:970-979.[10]ZHAO H, KITYZ C Y. An empirical comparison of goodness measures for unsupervised Chinese word segmentation with a unified framework[C]// Proceedings of the Third International Joint Conference on Natural Language Processing. Hyderabad, India: Asian Federation of Natural Language Processing, 2008:9-16.[11]罗志勇,宋柔. 现代汉语通用分词系统中歧义切分的实用技术[J]. 计算机研究与发展, 2006,43(6):1122-1128.[12]罗志勇,宋柔. 基于多特征的自适应新词识别[J]. 北京工业大学学报,2007,33(7):718-725.[13]SUN X, WANG H F, LI WJ. Fast online training with frequency-adaptive learning rates for Chinese word segmentation and new word detection[C]// Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics. Jeju Island, Korea: Association for Computational Linguistics, 2012:253-262.[14]WANG H S, ZHU J, TANG S P, et al. A New unsupervised approach to word segmentation [J]. Computational Linguistics, 2011, 37(3):421-454.[15]MAGISTRY P, SAGOT B. Unsupervised word segmentation: the case for Mandarin Chinese[C]// Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics. Jeju Island, Korea: Association for Computational Linguistics,2012:383-387.[16]修驰,宋柔. 基于“固结词串”实例的中文分词研究[J].中文信息学报,2012,26(3):59-64.[17]刘群, 张华平, 俞鸿魁. 基于层叠隐马模型的汉语词法分析[J].计算机研究与发展,2004,41(8):1421-1429.[18]何克抗, 徐辉.书面汉语自动分词专家系统设计原理[J].中文信息学报,1991,5(2) :1-14. |