ICLE-RC: International Corpus of Learner English for Relative Clauses

We present the ICLE-RC, a corpus of learner English texts annotated for relative clauses and related phenomena.The corpus contains a collection of 144 academic essays from the International Corpus of Learner English (ICLE;Granger et al., 2020), representing six L1 backgrounds -Finnish, Italian, Polish, Swedish, Turkish, and Urdu.These texts are annotated for over 900 relative clauses, with respect to a wide array of lexical, syntactic, semantic, and discourse features.The corpus also provides annotation of over 400 related phenomena (itclefts, pseudo-clefts, existential-relatives, etc.).Here, we describe the corpus annotation framework, report on the IAA study, discuss the prospects of (semi-)automating annotation, and present the first results from our corpus analysis.We envisage the ICLE-RC to be used as a valuable resource for research on relative clauses in SLA, language typology, World Englishes, and discourse analysis.

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Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.law-1.16
Primary Topic
Natural Language Processing Techniques
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article

ICLE-RC: International Corpus of Learner English for Relative Clauses

Peter Bourgonje, Izabela Czerniak, Debopam Das
Natural Language Processing Techniques
article

ICLE-RC: International Corpus of Learner English for Relative Clauses

Peter Bourgonje, Izabela Czerniak, Debopam Das
article en

Abstract

We present the ICLE-RC, a corpus of learner English texts annotated for relative clauses and related phenomena.The corpus contains a collection of 144 academic essays from the International Corpus of Learner English (ICLE;Granger et al., 2020), representing six L1 backgrounds -Finnish, Italian, Polish, Swedish, Turkish, and Urdu.These texts are annotated for over 900 relative clauses, with respect to a wide array of lexical, syntactic, semantic, and discourse features.The corpus also provides annotation of over 400 related phenomena (itclefts, pseudo-clefts, existential-relatives, etc.).Here, we describe the corpus annotation framework, report on the IAA study, discuss the prospects of (semi-)automating annotation, and present the first results from our corpus analysis.We envisage the ICLE-RC to be used as a valuable resource for research on relative clauses in SLA, language typology, World Englishes, and discourse analysis.

Åbo Akademi University (FI), University of Potsdam (DE), Turku Centre for Computer Science (FI)
Quality Education
Openalex Percentile: Top 90%
Natural Language Processing Techniques
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