arXiv 2509.254772026-04-07cs.CL

非洲NLP的崛起：对贡献、贡献者和社区影响的调查及文献计量分析

The Rise of AfricaNLP: A Survey of Contributions, Contributors, Community Impact, and Bibliometric Analysis

Instituto Politécnico Nacional（国立理工学院）；University of Gondar（贡德尔大学）；Northwest University Kano（卡诺西北大学）；Bayero University Kano（巴耶罗大学卡诺分校）；University of Huddersfield（哈德斯菲尔德大学）；iCog Labs（iCog实验室）；Pennsylvania State University（宾夕法尼亚州立大学）；University of Pretoria（比勒陀利亚大学）；Masakhane；University of Hamburg（汉堡大学）；Imperial College London（伦敦帝国理工学院）

Tadesse Destaw Belay, Kedir Yassin Hussen, Sukairaj Hafiz Imam, Ibrahim Said Ahmad, Isa Inuwa-Dutse, Abrham Belete Haile, Grigori Sidorov, Eusebio Ricardez Vazq… 展开作者

Tadesse Destaw Belay, Kedir Yassin Hussen, Sukairaj Hafiz Imam, Ibrahim Said Ahmad, Isa Inuwa-Dutse, Abrham Belete Haile, Grigori Sidorov, Eusebio Ricardez Vazquez, Iqra Ameer, Idris Abdulmumin, Tajuddeen Gwadabe, Vukosi Marivate, Seid Muhie Yimam, Shamsuddeen Hassan Muhammad

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AI总结：

本文通过分析非洲NLP领域近20年的研究进展，探讨了出版物、主题、任务、数据、方法和贡献者等方面的变化，提出了非洲NLP研究的趋势分析工具。

摘要：

自然语言处理（NLP）正经历持续的变革，大型语言模型（LLMs）在研究和实践中推动着日常突破。本文通过研究非洲NLP（AfricaNLP）的进展，探讨了其出版物、NLP主题、任务、贡献（数据、方法、任务）以及贡献者（作者、附属机构和资助机构）等方面的问题。我们利用包含2200篇NLP论文、4900名贡献作者和7800个人工标注的贡献句子（AfricaNLPContributions）数据集，定量分析了2005-2025年间非洲NLP研究的贡献。我们的数据集和AfricaNLP研究探索器工具为追踪非洲NLP研究趋势提供了有力的视角，并有望生成数据驱动的研究方法。该资源可在GitHub上找到。

英文摘要：

Natural Language Processing (NLP) is undergoing constant transformation, as Large Language Models (LLMs) are driving daily breakthroughs in research and practice. In this regard, tracking the progress of NLP research and automatically analyzing the contributions of research papers provides key insights into the nature of the field and the researchers. This study explores the progress of African NLP (AfricaNLP) by asking (and answering) research questions about the progress of AfricaNLP (publications, NLP topics, and NLP tasks), contributions (data, method, and task), and contributors (authors, affiliated institutions, and funding bodies). We quantitatively examine two decades (2005 - 2025) of contributions to AfricaNLP research, using a dataset of 2.2K NLP papers, 4.9K contributing authors, and 7.8K human-annotated contribution sentences (AfricaNLPContributions), along with benchmark results. Our dataset and AfricaNLP research explorer tool will provide a powerful lens for tracing AfricaNLP research trends and holds potential for generating data-driven research approaches. The resource can be found in GitHub.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。