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The English Language Learner Insight, Proficiency and Skills Evaluation (ELLIPSE) Corpus.

Authors :
Crossley, Scott
Tian, Yu
Baffour, Perpetual
Franklin, Alex
Kim, Youngmeen
Morris, Wesley
Benner, Meg
Picou, Aigner
Boser, Ulrich
Source :
International Journal of Learner Corpus Research (IJLCR); 2023, Vol. 9 Issue 2, p248-269, 22p
Publication Year :
2023

Abstract

This paper introduces the open-source English Language Learning Insight, Proficiency and Skills Evaluation (ELLIPSE) corpus. The corpus comprises ~6,500 essays written by English language learners (ELLs). All essays were written during state-wide standardized annual testing in the United States. The essays were written on 29 different independent prompts that required no background knowledge on the part of the writer. Individual difference information is made available for each essay including economic status, gender, grade level (8–12), and race/ethnicity. Each essay was scored by two trained human raters for English language proficiency including an overall score of English proficiency and analytic scores for cohesion, syntax, vocabulary, phraseology, grammar, and conventions. The paper provides reliability on the human judgments of proficiency reported for the corpus. The ELLIPSE corpus addresses many of the concerns found in existing learner corpora including unique holistic and analytic scores for each ELL essay. The corpus also includes limited demographic and individual difference data for each ELL. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22151478
Volume :
9
Issue :
2
Database :
Complementary Index
Journal :
International Journal of Learner Corpus Research (IJLCR)
Publication Type :
Academic Journal
Accession number :
175341519
Full Text :
https://doi.org/10.1075/ijlcr.22026.cro