Annotating an Arabic learner corpus for error

Ghazi Abuhakema, Reem Faraj, Anna Feldman, Eileen Fitzpatrick

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

This paper describes an ongoing project in which we are collecting a learner corpus of Arabic, developing a tagset for error annotation and performing Computer-aided Error Analysis (CEA) on the data. We adapted the French Interlanguage Database FRIDA tagset (Granger, 2003a) to the data. We chose FRIDA in order to follow a known standard and to see whether the changes needed to move from a French to an Arabic tagset would give us a measure of the distance between the two languages with respect to learner difficulty. The current collection of texts, which is constantly growing, contains intermediate and advanced-level student writings. We describe the need for such corpora, the learner data we have collected and the tagset we have developed. We also describe the error frequency distribution of both proficiency levels and the ongoing work.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008
PublisherEuropean Language Resources Association (ELRA)
Pages1347-1350
Number of pages4
ISBN (Electronic)2951740840, 9782951740846
StatePublished - 2008
Event6th International Conference on Language Resources and Evaluation, LREC 2008 - Marrakech, Morocco
Duration: 28 May 200830 May 2008

Publication series

NameProceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008

Other

Other6th International Conference on Language Resources and Evaluation, LREC 2008
Country/TerritoryMorocco
CityMarrakech
Period28/05/0830/05/08

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