内部处理?

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2022-07-13 DOI:10.1075/ijcl.20024.nai
Ben Naismith, Alan Juffs, Na-Rae Han, Daniel Zheng
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引用次数: 0

摘要

高频词汇表是语言教学的重要资源,也是语料库研究的重要成果。然而,没有一个单一的词汇表对每一个学习环境都有用,这些词汇表的适当性受到它们所基于的语料库的影响。本文研究了语料库选择对词汇复杂程度的影响,重点研究了来自内部学习者语料库(PELIC)和全球学习者语料库(剑桥学习者语料库)的两个频率列表。这一分析表明,从两种类型的学习者语料库中得出的频率表可以有效地作为衡量词汇复杂程度发展的基础,而不考虑学习者的具体计划。因此,公开可用的学习者语料库频率列表可以成为对语言学习者词汇增益感兴趣的利益相关者的可靠资源。
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Handle it in-house?
Vocabulary lists of high-frequency lexical items are an important resource in language education and a key product of corpus research. However, no single vocabulary list will be useful for every learning context, with the appropriateness of such lists affected by the corpora on which they are based. This paper investigates the impact of corpus selection on one measure of lexical sophistication, Advanced Guiraud, focusing on two frequency lists originating from an in-house learner corpus (PELIC) and a global learner corpus (Cambridge Learner Corpus). This analysis shows that frequency lists derived from both types of learner corpus can effectively serve as the basis for measuring the development of lexical sophistication, regardless of the specific program of the learners. Therefore, publicly available learner corpus frequency lists can be a reliable resource for stakeholders interested in the lexical gains of language learners.
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
43
期刊介绍: The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.
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