政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/75195
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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75195


    Title: Using co-occurrence information to improve Chinese-English word alignment in translation test items for high school students
    Authors: Huang, C.-S.;Chang, Y.-C.;Liu, Chaolin;Tseng, Y.-H.
    劉昭麟
    Contributors: 資科系
    Keywords: Co-occurrence;Co-occurrence informations;English-chinese translations;High school;High school students;Scoring methods;Translation pair;Word alignment;Computational linguistics;Speech processing;Alignment
    Date: 2010
    Issue Date: 2015-05-20 17:03:13 (UTC+8)
    Abstract: We study the word alignment between the Chinese problems and the English answers for the English-Chinese translation tests at the high school level in Taiwan. After applying a dictionary-based approach, we attempted to take advantage of the information about co-occurrence of unaligned words to find more translation pairs. We explored five scoring methods that were previously proposed in the literature. We ran our experiments with more than 17,000 test items, and checked the aligned word pairs that were assigned high scores. Experimental results showed that we could improve the F measure for the alignment task from 76.9% to 83.7% with the best performing scoring method.
    Relation: Proceedings of the 22nd Conference on Computational Linguistics and Speech Processing, ROCLING 2010
    Data Type: conference
    Appears in Collections:[Department of Computer Science ] Proceedings

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