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Sound word conversion evaluation system research and implementation

Author: ZhangQiang
Tutor: WangXuan
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Pinyin input method Sound word conversion Review Callout String matching
CLC: TP391.1
Type: Master's thesis
Year: 2008
Downloads: 22
Quote: 0
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Abstract


Tone character conversion technology is based on linguistics, computer science, mathematics , information theory , artificial intelligence and other disciplines on the basis of a comprehensive study of Chinese information processing has always been a research focus , which is one of the most important applications of Chinese Pinyin input method, has gone through three stages of development: the input word , words, inputs and input sentence . Pinyin input method development has now become the mainstream of Chinese input technology , accounting input method huge market share, various Pinyin input method is also flourishing . As China's first statement-level Pinyin input method birthplace , we have a responsibility for the scientific evaluation of sound word conversion systems and Pinyin input method to establish a sound system, and thus the development of standardized Pinyin input method , which is the content and purpose of this study . This paper describes the tone character conversion and Pinyin input technology development status and the current representative of mainstream Pinyin input method to analyze the main algorithms and technical difficulties . The second chapter presents the overall framework of evaluation system , including the accuracy of the evaluation and functional evaluation of two aspects , which defines the accuracy of the evaluation of the few quantifiable indicators, including evaluation for learning ability , suitable for automatic evaluation by machines . The functional aspects of the indicators can not be quantified , the need for evaluation based on the evaluation principles of labor . Chapters III and IV discusses mainly around the accuracy of the evaluation platform built in several stages and algorithms. First we need to get used to balancing evaluation corpus , followed by sub-word , and then to get the platform corpus annotation Pinyin input . Evaluation of the platform can be based on the input file to simulate keyboard input , and finally get the converted result files by comparison with the original corpus accuracy index can be calculated . In this process, the need to use the word segmentation algorithm , tagging algorithm and string matching algorithm and so on. The final chapter has been achieved through the system evaluation results , based on the analysis in the results , we conclude that a good input method should have the characteristics, that is to ensure accuracy while also taking into account the various users can easily input features and functions to ensure a good user experience.

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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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