Design and Analysis of an Annotated Gender-Based English Learner Corpus
Keywords:Corpus Linguistics, Learner corpus, gender studies, English as a Second Language, errors
This research focuses on the study of gender as a factor of influence of the performance from a corpus linguistics perspective. We compiled a university level English learner corpus from written sample texts produced in class, a linguistic analysis was carried out by means of the application of quantitative and qualitative methods. As a result, we obtained a systematic summary of errors in the learner corpus while taking several parameters into account, such as age, level and, especially, gender. Results revealed that errors were more prevalent in male students than on female at the time of composing general domain texts in English. In addition, we present a summary of the most frequent errors and a discussion of the factors that may have influenced these results.
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