Computer Processing of Oriental Languages. Language by Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou (auth.), Wenjie

By Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou (auth.), Wenjie Li, Diego Mollá-Aliod (eds.)

This publication constitutes the completely refereed complaints of the twenty second overseas convention on machine Processing of Oriental Languages, ICCPOL 2009, held in Hong Kong, in March 2009.

The 25 revised complete papers and 15 revised poster papers awarded have been rigorously reviewed and chosen from sixty three submissions. The papers handle a number of issues in typical language processing and its purposes, together with observe segmentation, word and time period extraction, chunking and parsing, semantic labelling, opinion mining, ontology building, computer translation, details extraction, rfile summarization, and so on.

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Extra info for Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy: 22nd International Conference, ICCPOL 2009, Hong Kong, March 26-27, 2009. Proceedings

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Table 3. F-score for Tamil POS tag with Modified CRF model Test Set 1 2 3 No of words (A) 18345 19834 18907 No. of word tagged (B) 16498 18182 16961 No. 8928 The table 3 shows the Performance of the POS tagging with Modified CRF model. The result shows the total POS tagging of 3 test set as used in the previous experiment. The effect of comparison between both CRF model shows that F-score value of modified CRF model for POS tagging increased significantly and Recall metric value of the modified CRF model is predominantly increased as compared with baseline CRF model.

Table 2. 11%) 477 Experiment 2 16 (32%) 18 (36%) 3 (6%) 8 (16%) 2 (4%) 3 (6%) 50 5 Conclusions This paper presented a query processing system based on hand-crafted local grammars. By analyzing large number of user questions of the domain, 38 subclasses are modeled with 163 local grammar graphs. Each pattern graph essentially holds all synonymous Processing of Korean Natural Language Queries Using Local Grammars 43 expressions of the given meaning. A bi-gram model is adopted to handle partial match problem caused by Korean word-order change and free insertion of adverbs.

Building a large annotated corpus of english: The penn treebank. kr Abstract. For casual web users, a natural language is more accessible than formal query languages. However, understanding of a natural language query is not trivial for computer systems. This paper proposes a method to parse and understand Korean natural language queries with local grammars. A local grammar is a formalism that can model syntactic structures and synonymous phrases. With local grammars, the system directly extracts user’s intentions from natural language queries.

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