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Research on Language Modeling Based Sentence Retrieval

Author: GaoLiZuo
Tutor: ZhangYu
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Sentence retrieval Words do not match Semantic language model Query replace Linear discriminant model
CLC: TP391.3
Type: Master's thesis
Year: 2007
Downloads: 122
Quote: 1
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Abstract


Information retrieval in recent years the development of a rapid computer applications disciplines. Sentence retrieval is a fine-grained information retrieval, question answering, document summarization, machine translation, and other fields have a wide range of applications. The topic of this article come from bilingual sentence search system \The sentence retrieval major difficulty is less information, the lack of context, which makes retrieval failed \This requires that the the sentence retrieval technology must make full use of existing information, such as word order, sentence structure, and in-depth \This study focused retrieval solve part of the sentence \This study on two fronts, from a query processing point of view, the second is the angle from the sentence retrieval model. A query is a representation of the user information needs. User input query spelling errors, improper use of synonyms, and word form of error, which will lead to the query words do not match \The second chapter of the language model-based query correction model to handle multiple queries transform a uniform model and statistical language model assessment transform results obtained optimal correction queries. Query correction part of the solution \Chapter III of this article first research-based the meaning language model retrieval model as the basis of the subsequent sentence retrieval model. Semantic language model is introduced in the statistical language model based on a statistical model meaning, try to solve the problem of traditional language model word does not match the \Sentence retrieval, Chapter linear discriminant model as a computational model of sentence retrieval. The characteristic use of a meta-language model, based on the edit distance and the meaning of the meaning of a word language model. The advantage of the linear discriminant model model assumptions on the distribution of the queries and documents than the traditional language model based on hidden Markov weaker accuracy MAP as optimization objectives conducive to system optimization. And discriminant model parameters can be adjusted according to the user's feedback for future personalized retrieval applications. Chapter V of this article describes the structure of the application system of sentence retrieval technology design, pre-processing and realization. With the development of information processing technology, the sentence retrieval is represented by fine-grained retrieve information processing applications play an increasingly important role in research sentence retrieval also an important value for promoting the application of natural language processing techniques in information retrieval .

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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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