Application of Self-Constructed Corpus in the English Writing Course

Abstract

The corpus constituents are actually the miniature of language. As the computer technology continuously progresses, corpus-based research proves increasingly applicable to language teaching and learning. As a free corpus analysis software program designed specifically for use in the language classrooms, AntConc provides the users with a powerful toolkit with various features to analyze the loaded written texts. Basic functions like the concordance tool and cluster sections of Antconc demonstrate the possibility to assess the performance of students' language proficiency. Considering the fact that IELTS is widely recognized as a standardized test and a big number of Chinese students are preparing for it in order to study abrord, the present study managed to built a self-constructed corpus of students essays in the English writing course. By means of the sophisticated coding and tagging systems, we obtained a set of standard text materials attached with the label of part of speech. Based upon the data analysis of the students’ IELTS writing samples against the modal essay corpus, we conducted the corresponding evaluation of students' lexical resource and offer further suggestions and tailor-made solutions in order to help students improve their writing ability. Under the help of the model essay corpus, students might obtain useful instructions, increase grammar diversity and accuracy, thereby become more competent writers. Our study added more evidence to the conclusion that corpus has a great potential to fundamentally change the ways we approach language education. Apparently, teachers working with highly proficient students from diverse backgrounds need to be informed about the latest corpus tools for a more fine-tuned or specifically tailored application in their writing course.