中国英语学习者书面英语动词形式错误检测

IF 1.6 2区 文学 N/A LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2022-04-13 DOI:10.1075/ijcl.19107.che
Gong Chen, Maocheng Liang
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引用次数: 0

摘要

在过去的几十年里,研究人员越来越关注自然语言中的自动错误检测,但很少有人关注为中国的英语学习者开发一种错误检测工具。本研究以模式语法理论为基础,通过Sleator和Temperley(1991)开发的形式语法系统Link Grammar对动词模式进行形式化,并重构Link Grammars动词词典,为中国学习者书面英语中动词形式错误的自动查查工具。测试结果表明,通过在Link语法词典中导入更详细的动词模式信息,Link语法分析器可以比原来更准确、更有效地识别动词形式错误,提高了Link语法分析器的解析能力。这篇文章表明,模式语法和链接语法可以协同工作,并应用于构建英语学习者的错误检查工具,取得了良好的效果。
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Verb form error detection in written English of Chinese EFL learners
In the past few decades, researchers have paid increasing attention to automatic error detection in natural languages, but few have focused on developing an error-checking tool for EFL learners in China. Based on the theory of Pattern Grammar, this study formalizes verb patterns through Link Grammar, a formal grammatical system developed by Sleator and Temperley (1991), and reconstructs an Link Grammar verb dictionary to create an automatic checking tool for verb form errors in Chinese learners’ written English. The test results show that by importing more detailed pattern information of verbs in the Link Grammar dictionary, the Link Grammar parser can identify verb form errors more accurately and effectively than the original and the parsing capability of the Link Grammar parser is improved. The article shows that Pattern Grammar and Link Grammar can work together and be applied to the construction of error-checking tools for EFL learners with promising results.
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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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