| dc.contributor | 資科系 | |
| dc.creator (作者) | Lee, Chia-Ling;Chang, Ya-Ning;Liu, Chao-Lin;Lee, Chia-Ying;Hsu, Jane Yung-jen | |
| dc.creator (作者) | 劉昭麟 | zh_TW |
| dc.date (日期) | 2014-07 | |
| dc.date.accessioned | 22-Jun-2016 16:21:48 (UTC+8) | - |
| dc.date.available | 22-Jun-2016 16:21:48 (UTC+8) | - |
| dc.date.issued (上傳時間) | 22-Jun-2016 16:21:48 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/98226 | - |
| dc.description.abstract (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. | |
| dc.format.extent | 547748 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (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 | |
| dc.subject (關鍵詞) | morphological awareness; human cognition; computational linguistics; Chinese character meaning | |
| dc.title (題名) | Unsupervised clustering of morphologically related Chinese words | |
| dc.type (資料類型) | conference | |
