頁籤選單縮合
題名 | A Probe into Ambiguities of Determinative-Measure Compounds |
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作者 | Li, Shih-min; Lin, Su-chu; Tai, Chia-hung; Chen, Keh-jiann; | 書刊名 | International Journal of Computational Linguistics & Chinese Language Processing |
卷期 | 11:3 民95.09 |
頁次 | 頁245-280 |
分類號 | 312.23 |
關鍵詞 | Ambiguities; Word segmentation ambiguities; Sense ambiguities; Part-of speech ambiguities; Determinative-measure compounds; |
語文 | 英文(English) |
英文摘要 | This paper aims to further probe into the problems of ambiguities for automatic identification of determinative-measure compounds (DMs) in Chinese and to develop sets of rules to identify DMs and their parts of speech. It is known that Chinese DMs are identifiable by regular expressions. DM rule matching helps one solve word segmentation ambiguities, and parts of speech help one improve sense recognition and part-of-speech tagging. In this paper, a deep analysis based on corpus data was studied. With analyses of error identification and disambiguation of DM compounds, the authors classified three types of ambiguities, i.e. word segmentation, sense, and pos ambiguities. DM rules are necessary complements to dictionaries and helpful to resolve word segmentation ambiguities by applying resolution principles and segmentation models. Sense and pos ambiguities are also expected to be resolved by different approaches during postprocessing. |
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