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

Hao Jan Howard Chen, Shu Li Lai*, Ken Yi Lee, Christine Ting Yu Yang

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

摘要

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.

原文英語
期刊Computer Assisted Language Learning
DOIs
出版狀態接受/付印 - 2021

ASJC Scopus subject areas

  • 語言與語言學
  • 語言和語言學
  • 電腦科學應用

指紋

深入研究「Developing and evaluating an academic collocations and phrases search engine for academic writers」主題。共同形成了獨特的指紋。

引用此