The Saudi Novel Corpus: Design and Compilation

Author:

Alfraidi TareqORCID,Abdeen Mohammad A. R.ORCID,Yatimi Ahmed,Alluhaibi ReyadhORCID,Al-Thubaity AbdulmohsenORCID

Abstract

Arabic has recently received significant attention from corpus compilers. This situation has led to the creation of many Arabic corpora that cover various genres, most notably the newswire genre. Yet, Arabic novels, and specifically those authored by Saudi writers, lack the sufficient digital datasets that would enhance corpus linguistic and stylistic studies of these works. Thus, Arabic lags behind English and other European languages in this context. In this paper, we present the Saudi Novels Corpus, built to be a valuable resource for linguistic and stylistic research communities. We specifically present the procedures we followed and the decisions we made in creating the corpus. We describe and clarify the design criteria, data collection methods, process of annotation, and encoding. In addition, we present preliminary results that emerged from the analysis of the corpus content. We consider the work described in this paper as initial steps to bridge the existing gap between corpus linguistics and Arabic literary texts. Further work is planned to improve the quality of the corpus by adding advanced features.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference62 articles.

1. An Introduction to Corpus Linguistics;Kennedy,1998

2. Corpus Linguistics and Linguistically Annotated Corpora;Kübler,2015

3. Glossary of Corpus Linguistics;Baker,2006

4. Corpus linguistics and the study of literature: Back to the future?;Biber;Sci. Study Lit.,2011

5. Corpus stylistics: Bridging the gap between linguistic and literary studies;Mahlberg;Text Discourse Corpora Theory Anal.,2007

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