1887
Volume 6, Issue 2
  • ISSN 2215-1478
  • E-ISSN: 2215-1486
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Abstract

Abstract

This report outlines the development of a new corpus, which was created by refining and modifying the largest open-access L2 English learner database – the EFCAMDAT. The extensive data-curation process, which can inform the development and use of other corpora, included procedures such as converting the database from XML to a tabular format, and removing problematic markup tags and non-English texts. The final dataset contains two corresponding samples, written by similar learners in response to different prompts, which represents a unique research opportunity when it comes to analyzing task effects and conducting replication studies. Overall, the resulting corpus contains ~406,000 texts in the first sample and ~317,000 texts in the second sample, written by learners representing diverse L1s and a large range of L2 proficiency levels.

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2020-12-10
2021-05-14
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  • Article Type: Research Article
Keyword(s): corpus cleaning; data curation; EFCAMDAT; English as a second language
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