The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Can learners use concordance feedback for writing errors?
Overview
The claims and statistics of this paper haven’t been checked yet.
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Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Formulaic Language and the Lexicon
Wray, A. (2002) · doi:10.1017/cbo9780511519772 · Cited by 2,873
Ellis, N. C. (2002) · Studies in Second Language Acquisition · doi:10.1017/s0272263102002024 · Cited by 2,230 · cited 1×
“These mappings, supported haphazardly by some amount of direct or usually indirect feedback, lead over a very large number of episodes (well described in Ellis, 2002) to the slow extraction of patterns that are rarely articulated.”
BackgroundRECASTS, REPETITION, AND AMBIGUITY IN L2 CLASSROOM DISCOURSE
Lyster, R. (1998) · Studies in Second Language Acquisition · doi:10.1017/s027226319800103x · Cited by 718
Teaching and Researching Writing
Hyland, K. (2015) · doi:10.4324/9781315717203 · Cited by 474
Cited by
Feedback on second language students' writing
Hyland, K., & Hyland, F. (2006) · Language Teaching · doi:10.1017/s0261444806003399 · Cited by 1,016
Lee, D., & Swales, J. (2006) · English for Specific Purposes · doi:10.1016/j.esp.2005.02.010 · Cited by 381
Data‐Driven Learning: Taking the Computer Out of the Equation
Boulton, A. (2010) · Language Learning · doi:10.1111/j.1467-9922.2010.00566.x · Cited by 278
Testing the limits of data-driven learning: language proficiency and training
Boulton, A. (2009) · ReCALL · doi:10.1017/s0958344009000068 · Cited by 257
Zhang, Z. (. (2020) · Assessing Writing · doi:10.1016/j.asw.2019.100439 · Cited by 256
Metadata
- Authors
- Gaskell, D., & Cobb, T.
- Venue
- System
- Publisher
- Elsevier BV
- Published
- 2004-09
- Volume
- 32
- Issue
- 3
- Pages
- 301-319
- ISSN
- 0346-251X (ISSN-L)
- OpenAlex
- W2124474181
- Cited by
- 347
- References
- 4
- FWCI
- 11.07
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Can learners use concordance feedback for writing errors? https://app.cochat.ai/papers/10.1016/j.system.2004.04.001
- The paper
- Gaskell, D., & Cobb, T. (2004). Can learners use concordance feedback for writing errors? System. https://doi.org/10.1016/j.system.2004.04.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
