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Design and Implementation of a Uyghur Chart Parser

Author: HaLiDanMu·ABuDuKeLiMu
Tutor: TuErGen·YiBuLaYin
School: Xinjiang University
Course: Computer Software and Theory
Keywords: Syntactic analysis Marked Rulebase Chart algorithm
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 40
Quote: 1
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Abstract


Syntactic analysis is a very important research in natural language processing . The analysis of a language , including lexical analysis, parsing , semantic and pragmatic analysis of several levels , parsing a direct impact on the process of subsequent works . The thesis established treebank annotation system , the Uighur statement , this labeling system includes two modules: the function chunk Mark modules and components marked module . By this labeling system , we completed the basic work on the establishment of the rule base , we analyze the syntactic analysis method is popular at home and abroad , choose Chart parsing method , beginning with a bottom-up Chart parsing method However, when the efficiency of this method of analysis is relatively low , and prone to ambiguity , we improved the algorithm , the bottom-up and top-down Chart algorithm combined to achieve a rule-based Uighur Chart parser . Conducted on the basis of the analyzer test multilingual IT Autonomous Key Laboratory of parts of speech in the Xinjiang University Corpus (XJU UPOS Corpus) , test results are better . Chart System Analysis , we found some problems, such as: the smaller of the selected dictionary and rule base , between the rules in the rule base often conflict . Because we know that natural language there is ambiguity , resulting in the above-mentioned problem is inevitable . Future work should continue to improve the syntactic treebank annotation system , thus improving the accuracy of the rule base , and the syntax rules of the rule base should be more complicated and complete , thereby improving the efficiency of the Chart parsing decency .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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