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Corpus Use

KACST Arabic Corpora Processing Tool

Software

By AbdulMohsen Al-Thubaity and his team

Link to download

Further details:

User guide

aConCorde

Software

By Andrew Roberts

Go to the website

Further details:

AntConc

Software

By Laurence Anthony

Go to the website

Further details:

Video tutorials
AntConc Guide
Google group

WordSmith Tools

Software

By Lexical Analysis Software Ltd.

Go to the website

Further details:

Get started guides

The Sketch Engine

Website (online tool)

By Lexical Computing Ltd.

Go to the website

Further details:

Documentation
Video tutorials
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The corpus can be used for many research purposes such as:

1. Contrastive Interlanguage Analysis (CIA)
2. Second Language Acquisition (SLA)

3. Learner dictionary making
4. Designing pedagogical materials
5. Optical Character Recognition (OCR)

 

​For more details about these uses see:

Alfaifi, Abdullah and Atwell, Eric. (2013). Potential Uses of the Arabic Learner Corpus. Paper presented at the Leeds Language, Linguistics and Translation PGR Conference 2013. Leeds, UK. (link)

 

 

Options of searching the corpus texts

First option: searching the corpus online via three website provide diferent features and searching functions:

1. The ALC search website: www.alcsearch.com (provides a basic function for searching the entire corpus or a subset data using a number of determinants, also any subset of texts can be downloaded based on these determinants)

2. www.sketchengine.com (a paid tool with advanced searching functions)

3. arabicorpus.byu.edu (a free tool with advanced searching functions)

 

Second option: downloading the corpus texts and using a corpus-analysis tool or website, you will need to do the following steps for this option:

1. Log in or sign up for an account (use the link on the top)

2. Download the corpus data from the "DOWNLOAD" page in the format you need.

3. Use one of the tools available for corpus analysis such as:​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

You are welcome to re-use the Arabic Learner Corpus in your own research under the Creative Commons Attribution.

If you did, please cite: 

 

Alfaifi, A., Atwell, E. and Hedaya, I. (2014). Arabic Learner Corpus (ALC) v2: A New Written and Spoken Corpus of Arabic Learners. In the proceedings of the Learner Corpus Studies in Asia and the World (LCSAW) 2014, 31 May - 01 Jun 2014. Kobe, Japan. <http://www.arabiclearnercorpus.com>.

 

Please remember to send us the information of your published paper to update the PUBLICATIONS page. Thanks.

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Copyright © Abdullah Alfaifi, 2013-2014. Email: scayga@leeds.ac.uk. This is an open source project

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Created    03.03.2013

Updated   14.01.2015

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