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How Much Knowledge of Derived Words Is Needed for Reading?
Applied Linguistics ( IF 4.155 ) Pub Date : 2019-11-21 , DOI: 10.1093/applin/amz051
Batia Laufer 1 , Tom Cobb 2
Affiliation  

The study explores the usefulness of the word family as the unit of counting in studies of lexical coverage and comprehension. It determines the proportion of texts covered by the various members of a word family, that is, basewords, inflected words, and derived words, and analyzes the contribution of the affixed words to lexical thresholds. This exploration was performed by a text analysis computer program called Morpholex that analyzes the entire lexis of an entered text, pulling out all words bearing prefixes and suffixes and counting the unaffixed words as basewords. We analyzed a variety of texts, academic and narrative, authentic and simplified, and calculated the number and percentage of basewords and affixes in each text. We also located the most frequent affixes in our text corpus and demonstrated which affixes and how many contributed to 95 per cent and 98 per cent text coverages. Our results show that reaching the lexical thresholds for reading does not require the knowledge of most of the derived words in a word family since a small number of frequent affixes will provide the necessary coverage together with the basewords and inflections.

中文翻译:

阅读需要多少派生词的知识?

该研究探讨了词族在词汇覆盖和理解研究中作为计数单位的有用性。它确定了一个词族的各个成员(即基词、屈折词和派生词)所覆盖的文本比例,并分析了附加词对词汇阈值的贡献。这种探索是由名为 Morpholex 的文本分析计算机程序执行的,该程序分析输入文本的整个词汇,提取所有带有前缀和后缀的单词,并将未添加的单词作为基本词计算。我们分析了各种文本,学术和叙事,真实和简化,并计算了每个文本中基词和词缀的数量和百分比。我们还在我们的文本语料库中找到了最常见的词缀,并展示了哪些词缀和多少词缀对 95% 和 98% 的文本覆盖率做出了贡献。我们的结果表明,达到阅读的词汇阈值不需要了解词族中的大多数派生词,因为少量频繁词缀将与基本词和屈折变化一起提供必要的覆盖范围。
更新日期:2019-11-21
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