Developing a Fine-Grained Corpus for a Less-resourced Language: the case of Kurdish
September 25, 2019 ยท Declared Dead ยท ๐ In Proceedings of the 2019 Workshop on Widening NLP (pp. 106-109), August 2019
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Authors
Roshna Omer Abdulrahman, Hossein Hassani, Sina Ahmadi
arXiv ID
1909.11467
Category
cs.CL: Computation & Language
Citations
0
Venue
In Proceedings of the 2019 Workshop on Widening NLP (pp. 106-109), August 2019
Last Checked
6 months ago
Abstract
Kurdish is a less-resourced language consisting of different dialects written in various scripts. Approximately 30 million people in different countries speak the language. The lack of corpora is one of the main obstacles in Kurdish language processing. In this paper, we present KTC-the Kurdish Textbooks Corpus, which is composed of 31 K-12 textbooks in Sorani dialect. The corpus is normalized and categorized into 12 educational subjects containing 693,800 tokens (110,297 types). Our resource is publicly available for non-commercial use under the CC BY-NC-SA 4.0 license.
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