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    Leacock, Claudia Chodorow, Martin Gamon, Michael and Tetreault, Joel 2014. Automated Grammatical Error Detection for Language Learners, Second Edition. Synthesis Lectures on Human Language Technologies, Vol. 7, Issue. 1, p. 1.


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  • English Profile Journal, Volume 2
  • September 2011, e1

Semi-automatic ESOL error annotation

  • Øistein E. Andersen (a1)
  • DOI: http://dx.doi.org/10.1017/S2041536211000018
  • Published online: 13 September 2011
Abstract
Abstract

Manual error annotation of learner corpora is time-consuming and error-prone, whereas existing automatic techniques cannot reliably detect and correct all types of error. This paper shows that the two methods can successfully complement each other: automatic detection and partial correction of trivial errors relieves the human annotator from the laborious task of incessantly marking up oft-committed mistakes and enables him or her to focus on errors which cannot or cannot yet be handled mechanically, thus enabling more consistent annotation with considerably less manual time and effort expended.

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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

E. J. Briscoe , J. Carroll & R. Watson (2006). ‘The second release of the RASP system’. In Proceedings of the COLING/ACL 2006 Interactive Presentation Sessions. Sydney, Australia, 7780.

E. Dagneaux , S. Denness & S. Granger (1998). ‘Computer-aided error analysis’. System: The International Journal of Educational Technology and Language Learning Systems. 26.2, 163174.

G. F. Kohut & K. J. Gorman (1995). ‘The effectiveness of leading grammar/style software packages in analysing business students’ writing’. Journal of Business and Technical Communication, 9.3, 341361.

D. Wible , Ch.-H. Kuo , Ch. F. Yi , A. Liu & N.-L. Tsao (2001). ‘A Web-based EFL writing environment: Integrating information for learners, teachers and researchers’. Computers & Education, 37.3–4, 297315.

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English Profile Journal
  • ISSN: -
  • EISSN: 2041-5362
  • URL: /core/journals/english-profile-journal
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