政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/98226

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题名:	Unsupervised clustering of morphologically related Chinese words
作者:	Lee, Chia-Ling;Chang, Ya-Ning;Liu, Chao-Lin;Lee, Chia-Ying;Hsu, Jane Yung-jen 劉昭麟
贡献者:	資科系
关键词:	morphological awareness;human cognition;computational linguistics;Chinese character meaning
日期:	2014-07
上传时间:	2016-06-22 16:21:48 (UTC+8)
摘要:	Many linguists consider morphological awareness a major factor that affects children’s reading development. A Chinese character embedded in different compound words may carry related but different meanings. For example, “商店(store)”, “商品(commodity)”, “商代(Shang Dynasty)”, and “商朝(Shang Dynasty)” can form two clusters: {“商店”, “商品”} and {“商代”, “商朝”}. In this paper, we aim at unsupervised clustering of a given family of morphologically related Chinese words. Successfully differentiating these words can contribute to both computer assisted Chinese learning and natural language understanding. In Experiment 1, we employed linguistic factors at the word, syntactic, semantic, and contextual levels in aggregated computational linguistics methods to handle the clustering task. In Experiment 2, we recruited adults and children to perform the clustering task. Experimental results indicate that our computational model achieved the same level of performance as children.
關聯:	Proceedings of the Thirty-Sixth Annual Meeting of the Cognitive Science Society (COGSCI`14), 2543‒2548. Québec City, Québec, Canada, 23-26 July 2014
数据类型:	conference
显示于类别:	[資訊科學系] 會議論文

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档案	描述	大小	格式	浏览次数
2543-2548.pdf		534Kb	Adobe PDF2	540	检视/开启

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