paper-with-me

홈 › Papers

Thematic Dispersion in Arabic Applied Linguistics: A Bibliometric Analysis using Brookes' Measure

2025-12-17 · Ayman Eddakrouri, Amani Ramadan arxiv

This study applies Brookes' Measure of Categorical Dispersion (Δ) to analyze the thematic structure of contemporary Arabic Applied Linguistics research. Using a comprehensive, real-world dataset of 1,564 publications from 2019 to 2025, classified into eight core sub-disciplines, we calculate a dispersion index of Δ = 0.194. This remarkably low value indicates extreme thematic dispersion, revealing that the field is characterized by pronounced heterogeneity rather than concentration. The analysis identifies Computational Linguistics as a dominant but non-hegemonic force, coexisting with robust research in Sociolinguistics, Language Teaching, and other subfields. This study clarifies the correct application of Brookes' original formula, demonstrates its utility for field characterization, and provides a replicable bibliometric methodology for assessing disciplinary structure across domains.

📄 PDF Abstract BibTeX arXiv:2512.15328

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Indonesian Journal of Applied Linguistics: A Bibliometric Portrait of Ten Publication Years

2021-04-05 · Abdul Syahid

Bibliometric portraits of a single journal appear to be rarely taken in the field of applied linguistics. Viewed from the angles of publication, citation, and indexation, one of the journals worth a bibliometric portrait…

Editorial for the First Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics

2015-06-17 · Iana Atanassova, Marc Bertin, Philipp Mayr

The workshop "Mining Scientific Papers: Computational Linguistics and Bibliometrics" (CLBib 2015), co-located with the 15th International Society of Scientometrics and Informetrics Conference (ISSI 2015), brought togethe…

MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset

2026-01-29 · Serry Sibaee, Yasser Alhabashi, Nadia Sibai, Yara Farouk 외 arxiv

Arabic is a linguistically and culturally rich language with a vast vocabulary that spans scientific, religious, and literary domains. Yet, large-scale lexical datasets linking Arabic words to precise definitions remain …

Semantic Retrieval

Mining Scientific Papers for Bibliometrics: a (very) Brief Survey of Methods and Tools

2015-05-06 · Iana Atanassova, Marc Bertin, Philipp Mayr

The Open Access movement in scientific publishing and search engines like Google Scholar have made scientific articles more broadly accessible. During the last decade, the availability of scientific papers in full text h…

Articles

A Panoramic Survey of Natural Language Processing in the Arab World

2020-11-25 · Kareem Darwish, Nizar Habash, Mourad Abbas, Hend Al-Khalifa 외

The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design. This distinguishes natural languages such as Arabic and Japanese from ar…

Machine TranslationOptical Character RecognitionOptical Character Recognition (OCR)Question Answering+4