A Study on Dispersion Measures for Core Vocabulary Compilation
نویسندگان
چکیده
Core vocabulary is a set of words that are stable used across different text types, theme, and application scenario. In natural language, the number of core vocabulary is relatively small, the core vocabulary, however, plays an important part in language learning because it constitutes a major part of communication content. The traditional core vocabulary selection method is mainly based on the expert knowledge and rule of experience. With the rise of corpus linguistics, word frequency and dispersion uniformity provide objective statistical data to assist the selection of core vocabulary. In this paper, we propose a formula that integrates multi-dimensional uniformity , so that the estimation of word uniformity can take different classification dimensions into account. Secondly, we also propose a method of word frequency normalization for the problem of deviation of the traditional method. For evaluation, a method of evaluating the core vocabulary with a heterogeneous corpus is proposed and it can compare the advantages, disadvantages, and characteristics of various statistical formulas. In the results, we actually compare the different core vocabulary selection formulas, analyzed the characteristics of different formulas, and verified the word frequency normalization can correct the shortcomings of the traditional formula. Finally, we also verified that the proposed method which integrates multi-dimensional uniformity can pick out the vocabulary with more core characteristics. 關鍵詞:語料庫語言學、核心詞彙、邊緣詞彙、分布均勻度。
منابع مشابه
基於詞語分布均勻度的核心詞彙選擇之研究(A Study on Dispersion Measures for Core Vocabulary Compilation )[In Chinese]
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ورودعنوان ژورنال:
- IJCLCLP
دوره 21 شماره
صفحات -
تاریخ انتشار 2016