章节(排版)
多样性(政治)
词汇多样性
索引(排版)
语言学
简单(哲学)
安全性令牌
计算机科学
类型(生物学)
应用语言学
自然语言处理
人工智能
心理学
数学
统计
社会学
认识论
哲学
词汇
程序设计语言
人类学
生态学
计算机安全
生物
操作系统
标识
DOI:10.1093/applin/amae053
摘要
Abstract Measuring lexical diversity in texts that have different lengths is problematic because length has a significant effect on the number of types a text contains, thus hampering any comparison. Treffers-Daller et al. (2018) recommended a simple solution, namely counting the number of types in a section of a given length that was extracted from the middle of each of the texts to be analysed. By applying this approach to second language essays, the authors observed that using the number of types was slightly more effective for differentiating amongst the Common European Framework of Reference for Languages (CEFR) levels than were the Type-Token Ratio (TTR) and the Guiraud index and that these three indices were more effective than were mathematically more complex ones. However, their conclusions regarding these two points are incorrect, and a less basic approach should be used. The last section addresses two broader issues in applied linguistics that are highlighted by these problems.
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