Automatic error tagging of spelling mistakes in learner corpora

Computing and Communications

Associated organisational units

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Published

Standard

Automatic error tagging of spelling mistakes in learner corpora. / Rayson, Paul ; Baron, Alistair.
A Taste for Corpora: In honour of Sylviane Granger. ed. / Fanny Meunier; Sylvie De Cock; Gaëtanelle Gilquin; Magali Paquot. Vol. 45 Amsterdam: John Benjamins, 2011. p. 109-126 (Studies in Corpus Linguistics; Vol. 45).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Rayson, P & Baron, A 2011, Automatic error tagging of spelling mistakes in learner corpora. in F Meunier, S De Cock, G Gilquin & M Paquot (eds), A Taste for Corpora: In honour of Sylviane Granger. vol. 45, Studies in Corpus Linguistics, vol. 45, John Benjamins, Amsterdam, pp. 109-126.

APA

Rayson, P., & Baron, A. (2011). Automatic error tagging of spelling mistakes in learner corpora. In F. Meunier, S. De Cock, G. Gilquin, & M. Paquot (Eds.), A Taste for Corpora: In honour of Sylviane Granger (Vol. 45, pp. 109-126). (Studies in Corpus Linguistics; Vol. 45). John Benjamins.

Vancouver

Rayson P , Baron A. Automatic error tagging of spelling mistakes in learner corpora. In Meunier F, De Cock S, Gilquin G, Paquot M, editors, A Taste for Corpora: In honour of Sylviane Granger. Vol. 45. Amsterdam: John Benjamins. 2011. p. 109-126. (Studies in Corpus Linguistics).

Author

Rayson, Paul ; Baron, Alistair. / Automatic error tagging of spelling mistakes in learner corpora. A Taste for Corpora: In honour of Sylviane Granger. editor / Fanny Meunier ; Sylvie De Cock ; Gaëtanelle Gilquin ; Magali Paquot. Vol. 45 Amsterdam : John Benjamins, 2011. pp. 109-126 (Studies in Corpus Linguistics).

Bibtex

@inbook{84dfd27469244fc1910f718fbd4ed6ac,

title = "Automatic error tagging of spelling mistakes in learner corpora",

abstract = "Manual error tagging of learner corpus data is time consuming and createsa bottleneck in the analysis of learner corpora. This had led researchers toapply techniques from the area of natural language processing to assist in the automatic analysis of such data. This chapter presents the novel application of a hybrid approach to the detection of spelling errors in learner data. The Variant Detector (VARD) software was developed to match historical spelling variants to modern equivalents with the intention of improving the accuracy and robustness of corpus linguistics techniques when applied to historical corpora. Here, we describe its application to detect spelling errors in written learner corpora consisting of 50,000 words from each of three learner backgrounds (French, German and Spanish).",

author = "Paul Rayson and Alistair Baron",

year = "2011",

language = "English",

isbn = "978 90 272 0350 2",

volume = "45",

series = "Studies in Corpus Linguistics",

publisher = "John Benjamins",

pages = "109--126",

editor = "Fanny Meunier and {De Cock}, Sylvie and Ga{\"e}tanelle Gilquin and Magali Paquot",

booktitle = "A Taste for Corpora",

}

RIS

TY - CHAP

T1 - Automatic error tagging of spelling mistakes in learner corpora

AU - Rayson, Paul

AU - Baron, Alistair

PY - 2011

Y1 - 2011

N2 - Manual error tagging of learner corpus data is time consuming and createsa bottleneck in the analysis of learner corpora. This had led researchers toapply techniques from the area of natural language processing to assist in the automatic analysis of such data. This chapter presents the novel application of a hybrid approach to the detection of spelling errors in learner data. The Variant Detector (VARD) software was developed to match historical spelling variants to modern equivalents with the intention of improving the accuracy and robustness of corpus linguistics techniques when applied to historical corpora. Here, we describe its application to detect spelling errors in written learner corpora consisting of 50,000 words from each of three learner backgrounds (French, German and Spanish).

AB - Manual error tagging of learner corpus data is time consuming and createsa bottleneck in the analysis of learner corpora. This had led researchers toapply techniques from the area of natural language processing to assist in the automatic analysis of such data. This chapter presents the novel application of a hybrid approach to the detection of spelling errors in learner data. The Variant Detector (VARD) software was developed to match historical spelling variants to modern equivalents with the intention of improving the accuracy and robustness of corpus linguistics techniques when applied to historical corpora. Here, we describe its application to detect spelling errors in written learner corpora consisting of 50,000 words from each of three learner backgrounds (French, German and Spanish).

M3 - Chapter

SN - 978 90 272 0350 2

VL - 45

T3 - Studies in Corpus Linguistics

SP - 109

EP - 126

BT - A Taste for Corpora

A2 - Meunier, Fanny

A2 - De Cock, Sylvie

A2 - Gilquin, Gaëtanelle

A2 - Paquot, Magali

PB - John Benjamins

CY - Amsterdam

ER -

Research

Associated organisational units