Arabic Corpora: Issues of Annotation

Student: Sergeeva Natalya

Faculty: Saint-Petersburg School of Social Sciences

Educational Programme: Asian and African Studies (Bachelor)

Year of Graduation: 2018

In the last decades, the development of Corpus Linguistics and Natural Language Processing (NLP) of such languages as Russian and English has increased considerably. However, there are not many achievements in these fields for the Arabic language. Despite this fact, there are four ambitious attempts to create Arabic corpora. This paper aims to compare morphological and syntactic annotation of four corpora – Quranic Arabic Corpus, Penn Arabic Treebank (PATB), Columbia Arabic Treebank (CATiB), and Prague Arabic Dependency Treebank (PADT) in order to find out which of them contains more linguistic information. Our analysis results show that different approaches implemented to these corpora provided diverse linguistic data with a high level of accuracy.

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