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Error Coding of Second-Language Learner Texts Based on Mostly Automatic Alignment of Parallel Corpora.

Conference contribution
Authors Dan Rosén
Mats Wirén
Elena Volodina
Published in Proceedings of CLARIN-2018 conference, 8-10 October 2018, Pisa, Italy
Publication year 2018
Published at Department of Swedish
Language en
Links https://office.clarin.eu/v/CE-2018-...
Keywords second language learner corpus, error annotation tool, parallel allignment
Subject categories Specific Languages, General Language Studies and Linguistics, Information Systems, Language Technology (Computational Linguistics)

Abstract

Error coding of second-language learner text, that is, detecting, correcting and annotating errors, is a cumbersome task which in turn requires interpretation of the text to decide what the errors are. This paper describes a system with which the annotator corrects the learner text by editing it prior to the actual error annotation. During the editing, the system automatically generates a parallel corpus of the learner and corrected texts. Based on this, the work of the annotator consists of three independent tasks that are otherwise often conflated: correcting the learner text, repairing inconsistent alignments, and performing the actual error annotation.

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