文章詳目資料

International Journal of Computational Linguistics And Chinese Language Processing THCI

  • 加入收藏
  • 下載文章
篇名 Assessing Text Readability Using Hierarchical Lexical Relations Retrieved from WordNet
卷期 14:1
作者 Lin, Shu-yenSu, Cheng-chaoYang, Li-chinHsieh, Shu-kaiLai, Yu-da
頁次 045-083
關鍵字 ReadabilityBasic Level WordsWordNetPrototype TheoryCompoundsTHCI Core
出刊日期 200903

中文摘要

英文摘要

Although some traditional readability formulas have shown high predictive validity in the r = 0.8 range and above (Chall & Dale, 1995), they are generally not based on genuine linguistic processing factors, but on statistical correlations (Crossley et al., 2008). Improvement of readability assessment should focus on finding variables that truly represent the comprehensibility of text as well as the indices that accurately measure the correlations. In this study, we explore the hierarchical relations between lexical items based on the conceptual categories advanced from Prototype Theory (Rosch et al., 1976). According to this theory and its development, basic level words like guitar represent the objects humans interact with most readily. They are acquired by children earlier than their superordinate words like stringed instrument and their subordinate words like acoustic guitar. Accordingly, the readability of a text is presumably associated with the ratio of
basic level words it contains. WordNet (Fellbaum, 1998), a network of
meaningfully related words, provides the best online open source database for studying such lexical relations. Our study shows that a basic level noun can be identified by its ratio of forming compounds (e.g. chair .. armchair) and the length difference in relation to its hyponyms. We compared graded readings for American children and high school English readings for Taiwanese students by several readability formulas and in terms of basic level noun ratios (i.e. the number of basic level noun types divided by the number of noun types in a text ). It is suggested that basic level noun ratios provide a robust and meaningful index of
lexical complexity, which is directly associated with text readability.

相關文獻