期刊动态 | 语料库语言学SSCI期刊IJCL2022年第2期目录与看点

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IJCL

订阅International Journal of Corpus Linguistics一年4期电子账户956元，可以开具发票，支持对公转账。订阅联系人王老师13501892122

2022年第2期看点

编者按

本期International Journal of Corpus Linguistics发表了4篇论文，2篇书评。其中2篇论文来自中国学者。以下是摘要：

Verb form error detection in written English of Chinese EFL learners A study based on Link Grammar and Pattern Grammar 

Gong Chen 陈功 | University of International Business and Economics Maocheng Liang 梁茂成 | Beihang University

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.

A multi-dimensional comparison of the effectiveness and efficiency of association measures in collocation extraction

Yaochen Deng 邓耀臣 | Dalian University of Foreign Languages

Dilin Liu 刘迪麟 | The University of Alabama

Because of the ubiquity and importance of collocations in language use/learning, how to effectively and efficiently identify collocations has been a topic of interest. Although some studies have evaluated many of the existing association measures (AMs) used in the automatic identification of collocations, the results so far have been inconsistent and unclear due to various limitations of the existing studies. Hence, this study makes a multi-dimensional evaluation of the effectiveness and efficiency of seven major AMs in the identification of three types of collocations across five genres and seven corpora of different sizes. The results indicate that while a few AMs, such as Log Likelihood Ratio and Cubic Mutual Information (MI3), are consistently more effective and efficient than the other five AMs being examined, no one AM alone may be adequate in the identification of different types of collocations across different genres and corpus sizes. Research implications are also discussed.

2022年第2期IJCL目录

Verb form error detection in written English of Chinese EFL learners: A study based on Link Grammar and Pattern Grammar

Gong Chen and Maocheng Liang | pp. 139–165

The hapax / type ratio: An indicator of minimally required sample size in productivity studies?

Niek Van Wettere | pp. 166–190

A multi-dimensional comparison of the effectiveness and efficiency of association measures in collocation extraction

Yaochen Deng and Dilin Liu | pp. 191–219

Degrees of non-standardness: Feature-based analysis of variation in a Torlak dialect corpus

Teodora Vuković, Anastasia Escher, and Barbara Sonnenhauser | pp. 220–247

BOOK REVIEWS

Stefanowitsch, A. (2020). Corpus Linguistics: A Guide to the Methodology. Language Science Press

Reviewed by Kevin F Gerigk | pp. 248–253

Feng, Haoda (2020). Form, Meaning and Function in Collocation: A Corpus Study on Commercial Chinese-to-English Translation. Routledge

Reviewed by Mehrdad Vasheghani Farahani | pp. 254–258

原版书海外代购！如需购买国际原版学术著作，可以联系我们询价，支持对公转账，可以制订合同，开具电子发票和购物清单。订购联系人：王老师 13501892122电话同微信

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