ArticleEntropy (Basel, Switzerland)2021
Using the Relative Entropy of Linguistic Complexity to Assess L2 Language Proficiency Development.
Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Measuring information density in interlanguage through entropy analysis.Scientific reports · 2026Article
- Article
- Kolmogorov complexity metrics in assessing L2 proficiency: An information-theoretic approach.Frontiers in psychology · 2022Article
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2 authors.
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Abstract
This study applies relative entropy in naturalistic large-scale corpus to calculate the difference among L2 (second language) learners at different levels. We chose lemma, token, POS-trigram, conjunction to represent lexicon and grammar to detect the patterns of language proficiency development among different L2 groups using relative entropy. The results show that information distribution discrimination regarding lexical and grammatical differences continues to increase from L2 learners at a lower level to those at a higher level. This result is consistent with the assumption that in the course of second language acquisition, L2 learners develop towards a more complex and diverse use of language. Meanwhile, this study uses the statistics method of
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