Alfaifi, A and Atwell, E Arabic learner corpus and its potential role in teaching Arabic to non-native speakers. In: 7th Biennial IVACS Conference, 19-21 Jun 2014, Newcastle University, UK. (Unpublished)
Abstract
The literature on learner corpora (Al-Sulaiti, 2010; Granger & Dumont, 2012) shows that there is a need to compile an Arabic learner corpus, which can be used in research on Arabic language learning and teaching. This paper introduces the project to build the Arabic Learner Corpus (ALC) (Alfaifi & Atwell, 2013), and its potential uses in teaching Arabic as a second language (ASL). ALC includes 282,732 words of written and spoken materials produced by learners of Arabic in Saudi Arabia. The corpus covers two types of students, non-native Arabic speakers (NNAS) and native Arabic speaking students (NAS) who are learning to improve their written Arabic. The corpus also covers two general levels of study, pre-university and university. The corpus data is available online for download in TXT and XML format at http://www.arabiclearnercorpus.com. Further work is being performed to annotate the entire corpus for errors. The growing role of learner corpora in the last decade has provided valuable insights into the uses of this type of corpora, such as error analysis, contrastive interlanguage analysis, making learners’ dictionaries, monitoring learners’ improvements and designing language materials. These uses were considered when building ALC as an open-source corpus.
Metadata
Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2014, Alfaifi, Abdullah, and Atwell, Eric. Reproduced with permission from the copyright holder. |
Keywords: | Arabic; corpus; language; teaching; learning |
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Jul 2014 11:18 |
Last Modified: | 19 Dec 2022 13:27 |
Status: | Unpublished |