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Researching of Mongolian Word Segmentation System Based on Dictionary, Rules and Language Model

Author: MingYu
Tutor: HouHongXu
School: Inner Mongolia University
Course: Computer Science and Technology
Keywords: Mongolian Dictionary Rule Statistics
CLC: TP391.1
Type: Master's thesis
Year: 2011
Downloads: 41
Quote: 1
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Abstract


Mongolian is an important one minority language . Mongolian information processing technology in the development of great significance to the development of Mongolian Area politics, culture and life . Mongolian word segmentation system is the basis of the number of follow-up Mongolian information processing . This article first attempt at a traditional Mongolian word segmentation , the first attempt Dictionary , rules and statistical methods . In this study , we organize and proofread the Mongolian language materials and documentation . These can be found on the basis of the follow-up work as Mongolian information processing . We study the Mongolian word segmentation system has been the ideal word segmentation efficiency . In this paper, the Mongolian word segmentation test platform gives the the unified traditional Mongolian word segmentation test platform . This article studies the the Mongolian language syntax and features , and improved hierarchical language models . The model takes into account not only the context relations , also stressed the high degree of coupling of the components within the word . Our word segmentation system , the first pre-processing the Mongolian word . Then, based on the most of the Mongolian word Dictionary Segmentation . Finally , the Mongolian word for the rest of the first Mongolian various rules to generate more than one candidate set , and then improved hierarchical the Mongolian language model to select the right candidate word segmentation program . Through three methods of organic combination play to their respective advantages , performance Mongolian word segmentation system .

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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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