英语学习者的子范畴框架识别

IF 1.6 2区文学 0 LANGUAGE & LINGUISTICS

International Journal of Corpus Linguistics Pub Date : 2020-12-08 DOI:10.1075/ijcl.18097.hua

Yi-Feng Huang, Akira Murakami, T. Alexopoulou, A. Korhonen

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引用次数: 0

摘要

随着大规模学习语料库的日益普及，自然语言处理(NLP)技术的发展为第二语言研究提供丰富的语言注释变得至关重要。本文提出了一个用于英语学习者的子分类框架自动分析系统。SCFs将词汇与形态句法联系起来，揭示了学习者语言中词汇信息与结构信息之间的相互作用。同时，scf对于研究单个动词、动词类和句法结构变化等一系列现象至关重要。为了说明我们的系统对学习者语料库研究和第二语言习得(SLA)的有用性，我们研究了二语学习者如何在文本中多样化地使用scf，以及这种多样性如何随着二语熟练程度的变化而变化。

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Subcategorization frame identification for learner English

Abstract As large-scale learner corpora become increasingly available, it is vital that natural language processing (NLP) technology is developed to provide rich linguistic annotations necessary for second language (L2) research. We present a system for automatically analyzing subcategorization frames (SCFs) for learner English. SCFs link lexis with morphosyntax, shedding light on the interplay between lexical and structural information in learner language. Meanwhile, SCFs are crucial to the study of a wide range of phenomena including individual verbs, verb classes and varying syntactic structures. To illustrate the usefulness of our system for learner corpus research and second language acquisition (SLA), we investigate how L2 learners diversify their use of SCFs in text and how this diversity changes with L2 proficiency.

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来源期刊

International Journal of Corpus Linguistics Multiple-

CiteScore

3.30

自引率

0.00%

发文量

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.