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Optimization, Implementation And Analysis Of The Input Algorithm Based On The Mongolian Standard Coding

Posted on:2015-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:J LiuFull Text:PDF
GTID:2268330428482847Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Mongolian has a long history. It is one of the vital national minority languages in our country. Mongolian information processing has untold influence on the political and cultural life in Mongolian areas. As a communication tool in the information age, Mongolian input method’s development is leading the whole progress of Mongolian language information processing. Due to these complexities of Mongolian itself, we can hardly input Mongolian which meets the standards of Mongolian language information processing accurately and quickly. So, it is particularly necessary to have technology improvement and innovation in the field."Mongolian input method" introduced in this paper is on the basis of the Latin transliteration with Mongolian word unit for the processing and analysis, without grammar research involved.Based on the Mongolian Standard coding, this paper extracts some of the relatively complicated and error-prone rules according to the traditional Mongolian rules with in-depth research, then makes appropriate adjustments to them and write them into the algorithm. So it lets users can input directly without thinking twice when using the rules to input. It not only speeds up the input but also improves the accuracy. CPN model was established on the basis of the brief analysis of the process of the algorithm. By formalized description, from the angle of global algorithm further analysis and optimization implemented the algorithm at the same time. Finally, this paper collects three different Mongolian website according to the Mongolian Standard of input corpus, comparing test and analysis further verify the rationality and superiority of the proposed algorithm.
Keywords/Search Tags:Mongolian, Mongolian input methods, rules, CPN model
PDF Full Text Request
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