A Study On Statistical Analysis And Collation Of Sawndip In MO Scriptures Buluotuo

Mo scriptures Buluotuo is the largest corpus with Sawndip. This dissertation mainly focuses on:the corpus construction of Sawndip, the text usage, the variant character, the character order and the common level. It consists of six chapters:Chapter Ⅰ is an introduction. This part summarizes the review and the outcome of research about Mo scriptures Buluotuo and Sawndip. It also covers the aim, the meaning, the content and the methodology of this dissertation.Chapter Ⅱ describes the construction of the database for Mo scriptures Buluotuo, namely, the process of realizing primary informatization of Sawndip and the foundation of Mo scriptures Buluotuo corpus. The primary informatization aims at the design of the Sawndip input method, whose database includes the whole-length and the separate-word Mo scriptures Buluotuo, as well as the word table of Sawndip.Chapter Ⅲ displays the statistics and analysis of Sawndip. Firstly, this part discusses the main problems and solutions on processing word frequency. Secondly, it works out the statistical analysis of the wordage, the word frequency, the meaning in detail, and forms the word frequency list. In the meanwhile, this part analyses the grade, the distribution law and the relationship with meaning of Sawndip. Furthermore, it depicts the statistical analysis of the text usage, forms the character list, and analyses the distribution in each transcript.Chapter IV is a study of Sawndip collation. It starts with the definition and collation on the variant character and its list, and then discusses its general information and characteristics. The chapter goes on to introduce the rule of stroke order and the shape of stroke. After that, a collation on stroke and its distribution is analyzed. This chapter then establishes standards and grades for the common level of Sawndip, and checks on the reasonability.Chapter V mainly concentrates on the application of the study for Mo scriptures Buluotuo and Sawndip. It discusses its applicability on information processing and compilation of dictionaries.Chapter VI is conclusion, summarizing the overall key contents of the dissertation.