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Research of Mongolian Information Retrieval Model Based on Markov Random Field

Author: JinYanWei
Tutor: GaoGuangLai
School: Inner Mongolia University
Course: Applied Computer Technology
Keywords: Information Retrieval Mongolian Information Retrieval Mongolian information processing Markov Random Field
CLC: TP391.3
Type: Master's thesis
Year: 2011
Downloads: 42
Quote: 1
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Abstract


With the development of computer and network technology , the Web has become a repository of human knowledge , users can quickly and easily access to a wealth of information . Thus find really useful information on such a vast information become the focus of attention . In this context , information retrieval technology has been developed rapidly . At present, the application of information retrieval technology has achieved good results in Chinese, English , Japanese , and other languages ??. However, due to the unique nature of the language information retrieval technology is rarely used in minority languages ??, which seriously hampered the promotion of minority cultures . Mongolian occupies a very important position in China 's minority languages ??, but also very influential language in the world . Mongolian increasingly rich , greatly promoted the development of information retrieval in Mongolian , Mongolian information retrieval system by people more and more attention . This paper studies the Mongolian information retrieval model using Markov random field theory and method . Markov Random Field is a better graphical representation of the knowledge associated with it without the knowledge of the relationship between performance better explain the information retrieval , a powerful learning functions and reasoning abilities . This paper the word association model based on Markov random airport Mongolian language structure combining three completely independent (FI), phrase association ( PD ) , modified the association (MD) retrieval model is designed according to the characteristics of the Mongolian language . Mongolian corpus experiments show : Our model significantly improves retrieval performance .

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