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篇名
Resolving Translation Ambiguity and Target Polysemy in Cross-Language Information Retrieval+
作者 Chen, Hsin-hsi (Chen, Hsin-hsi)Bian, Guo-wei (Bian, Guo-wei)Lin, Wen-cheng (Lin, Wen-cheng)
中文摘要
This paper deals with translation ambiguity and target polysemy problems together. Two monolingual balanced corpora are employed to learn word co-occurrence for the purpose of translation ambiguity resolution and augmented translation restrictions for that of target polysemy resolution. Experiments show that the model achieves 62.92% monolingual information retrieval, which is 40.80% better than that of the select-all model. When target polysemy resolution is added, the retrieval performance represents approximately a 10.11% increase over that of the model which resolves translation ambiguity only.
起訖頁 21-37
關鍵詞 Cross-language information retrievalQuery translationTranslation ambiguityTarget polysemyAugmented translation restriction
刊名 中文計算語言學期刊  
期數 199908 (4:2期)
出版單位 中華民國計算語言學學會
該期刊-上一篇 A Model for Word Sense Disambiguation
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