Automatic Text Summarization (ATS) for Research Documents in Sorani Kurdish
Authors
arXiv
April 20, 2025
Abstract
Develops an extractive automatic text summarization approach for long-form Sorani Kurdish research documents. The study uses a corpus of 231 scientific papers from four academic departments, applies Sentence Weighting and TF-IDF in two experiments with and without conclusion sections, and evaluates the generated summaries using ROUGE-1, ROUGE-2, ROUGE-L and expert assessment.
Keywords
Sorani Kurdish
Automatic Text Summarization
TF-IDF
Sentence Weighting
Research Documents
ROUGE
Related Datasets
Sorani Kurdish Research-Document Summarization Corpus
Date not verified
231 research documents
Research documents, Generated summaries, CSV experiment data
A research corpus assembled for automatic summarization experiments from 231 Sorani Kurdish scientific papers across four academic departments. Public repository availability and a standalone dataset …
Citation
Abdulrahman, R. H., & Hassani, H. (2025). Automatic Text Summarization (ATS) for Research Documents in Sorani Kurdish. arXiv:2504.14630.