Qatari Corpus of Argumentative Writing
| Item Name: | Qatari Corpus of Argumentative Writing |
| Author(s): | Abdelhamid M. Ahmed, Debra Myhill, Esmaeel Abdollahzadeh, Lee McCallum, Wajdi Zaghouani, Lameya Rezk, Anissa Jrad, Xiao Zhang |
| LDC Catalog No.: | LDC2022T04 |
| ISBN: | 1-58563-992-3 |
| ISLRN: | 703-290-141-447-2 |
| DOI: | https://doi.org/10.35111/k307-kg62 |
| Release Date: | July 15, 2022 |
| Member Year(s): | 2022 |
| DCMI Type(s): | Text |
| Data Source(s): | essays |
| Application(s): | automatic content extraction, discourse analysis |
| Language(s): | Arabic, English |
| Language ID(s): | ara, eng |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2022T04 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Ahmed, Abdelhamid M., et al. Qatari Corpus of Argumentative Writing LDC2022T04. Web Download. Philadelphia: Linguistic Data Consortium, 2022. |
| Related Works: | View |
Introduction
Qatari Corpus of Argumentative Writing was developed by Qatar University, University of Exeter and Hamad Bin Khalifa University and is comprised of approximately 200,000 tokens of Arabic and English writing by undergraduate students (159 female, 36 male) along with annotations and related metadata. Students were native Arabic speakers and fluent in English; each student wrote one Arabic and one English essay in response to specific argumentative prompts. They were instructed to include in their essays a clear thesis statement supported by relevant evidence.
Data
The corpus is divided into Arabic and English parts, each of which contains 195 essays. Part-of-speech annotated files are included with the essay text. All text files are in UTF-8 encoded text format.
Metadata is comprised of information about the students (gender, major, first language, second language) and information about the essay texts (serial numbers of texts, word limits, genre, date of writing, time spent on writing, place of writing). Metadata is presented in UTF-8 encoded CSV format.
Samples
Please view this text sample (TXT) and annotation sample (TXT).
Updates
None at this time.