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A knowledge management system for chinese language arts teachers

BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY 2008年第5期39卷 935-943页

作者： Lin, Janet Mei-Chuen Wang, Pei-Yu Natl Taiwan Normal Univ Grad Inst Informat & Comp Educ Taipei Taiwan

The article discusses a knowledge management system which has been developed for chinese language arts teachers. Details about the system and the subject of chinese language arts are provided. The complexity of chinese language arts textbooks are examined and the management program is presented as a way to effectively organize class material. A diagram illustrating the schema of the database program is presented and several images illustrating the usefulness and functionality of the program are also provided.

关键词： chinese language -- data processing KNOWLEDGE management WEB databases language arts EDUCATIONAL technology language arts teachers

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Advanced techniques for chinese chunk segmentation and the similarity measure of chinese sentences

Advanced techniques for Chinese chunk segmentation and the s...

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作者： Wang, Rongbo Hong Kong Polytechnic University (Hong Kong)

学位级别：Ph.D.

This thesis addresses two important problems in chinese information processing, namely chinese chunk segmentation and the similarity measure of chinese sentences. The three main contributions reported in this thesis are: (1) a novel chinese chunk segmentation technique using a statistical model combined with correction rules generated using an error-correction mechanism; (2) a novel similarity measure of chinese sentences using both word/chunk sequences and POS (Part of Speech) tag sequences of chinese sentences; and (3) the optimization of parameters used in the combined similarity measure approach by applying a relevance feedback technique and a neural network model. In the first investigation, a statistical model combined with correction rules generated by an error-correction mechanism is proposed for chinese chunk segmentation. Chunk segmentation of chinese sentences in the training corpus was carried out manually to provide a ground rule for training the statistical model with which preliminary chunk segmentation results will be obtained. The chunk segmentation result (correctly and incorrectly segmented chunks) from the statistical model is utilized to generate a set of correction rules for refining the segmentation result. This set of correction rules is generated by an error-correction mechanism in which a comparison between the preliminary segmentation result and the manually segmented result is performed. The statistical model and the learned correction rules can then be used to perform chinese chunk segmentation of unseen sentences. In the second investigation, novel similarity measures of chinese sentences are proposed by using word/chunk sequences and POS tag sequences of chinese sentences. The sentence similarity measure is one of very important components in example-based machine translation (EBMT). For chinese sentences there is no delimiter between any two words, which is different from English sentences. Hence, chinese word/chunk delimitation shoul

关键词： Hong Kong Polytechnic University -- Dissertations chinese language -- data processing chinese language -- Sentences chinese language -- Word formation chinese language -- Machine translating

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