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Article

Developing and evaluating an academic collocations and phrases search engine for academic writers

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Pages 641-668 | Published online: 21 Jun 2021
 

Abstract

Knowledge of collocations is essential for English academic writing. However, there are few academic collocation referencing tools available and there is a pressing need to develop more. In this paper, we will introduce the ACOP (Academic Collocations and Phrases Search Engine), a newly developed corpus-based tool to search large academic corpora. Using the AntCorGen corpus crawling tool, 100,000 articles from 10 academic areas were downloaded from the PLOS One journal database. A multidisciplinary 500-million-word academic corpus was thus created. Our team further developed the ACOP to allow users to search for collocations and phrases in the academic corpus that we compiled. Additionally, this new tool will allow learners to search for not only bigrams but also for three- to five-word strings. Learners can further search using parts of speech. To validate whether the new tool can assist EFL learners in finding appropriate academic collocations, we compared this tool with BYU’s state-of-the-art COCA corpus search tool. The 35 students who participated in the study were randomly divided into two groups. One group used BYU’s COCA tool and the other used the ACOP tool. Both groups were asked to identify suitable collocates for 25 gap-fill questions. Paired t-tests and independent t-tests were used to analyze the data. The results indicated that both groups showed a significant improvement in the posttest when they had access to the collocation retrieval systems. However, statistically, the results showed no significant difference between the two tools, as they were equally useful in helping the students find appropriate collocates. According to the users’ surveys, compared with the COCA group, the participants in the ACOP group found the ACOP easier to use and the interface was clearer and simpler. The Mann-Whitney U tests of the two groups showed significant differences in the aspect of the interface. The preliminary results indicated that the ACOP can assist EFL learners in finding suitable academic collocations and phrases, and the users’ surveys showed positive results.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

8 Many senior high school students in Taiwan are very familiar with the CECC wordlist (College Entrance Exam Center). The list has about 6000 words. We compared the list with the 570 academic headwords proposed by Coxhead (2000), 516 of the 570 headwords were found to be included in the CECC wordlist. This is to say, many college freshmen in Taiwan know most of these high-frequency academic words.

Additional information

Notes on contributors

Hao-Jan Howard Chen

Howard Hao-Jan Chen is a professor in the Department of English, National Taiwan Normal University, Taiwan. He is also the President of the English Teaching and Research Association (ETRA), Taiwan. His research interests include Corpus Linguistics, CALL and SLA.

Shu-Li Lai

Shu-Li Lai* is an assistant professor in the General Education Center at National Taipei University of Business, Taiwan. Her research interests include CALL, SLA, and EFL writing.

Ken-Yi Lee

Ken-Yi Lee, a PhD in computer science, National Taiwan University. He is a professional programmer and has produced many games and software programs.

Christine Ting-Yu Yang

Christine Yang has a master degree in TESOL, National Taiwan Normal Universidy. Her research interests include CALL and Corpus Linguistics.

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