描绘非洲NLP全景：梳理进展与规划未来道路
Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead
AI总结：
本综述分析过去五年884篇非洲语言NLP论文，梳理该领域进展与趋势，提出推动其更具包容性和可持续性的研究方向。
摘要：
非洲拥有2000多种语言，潜在使用者达数百万，是世界上语言资源最丰富的地区之一。然而，这种多样性在当前最先进的自然语言处理（NLP）系统和大语言模型（LLM）中几乎没有得到体现，这些系统和模型主要支持少数高资源语言。这种排斥不仅限制了现代NLP技术的覆盖范围和实用性，还可能加剧不同语言群体之间的数字鸿沟。尽管如此，针对非洲语言的NLP研究仍在积极开展且不断发展。近年来，受多语言资源构建、社区主导项目兴起以及资助项目支持力度加大等多重因素推动，该领域的研究兴趣大幅增长。在本综述中，我们分析了过去五年发表的884篇非洲语言NLP相关研究论文，全面概述了核心任务领域的最新进展。我们梳理了塑造该领域发展的关键趋势，并在最后提出了推动非洲语言NLP研究更具包容性和可持续性的可行方向。
英文摘要：
With over 2,000 languages and potentially millions of speakers, Africa represents one of the richest linguistic regions in the world. Yet, this diversity is scarcely reflected in state-of-the-art natural language processing (NLP) systems and large language models (LLMs), which predominantly support a narrow set of high-resource languages. This exclusion not only limits the reach and utility of modern NLP technologies but also risks widening the digital divide across linguistic communities. Nevertheless, NLP research on African languages is active and growing. In recent years, there has been a surge of interest in this area, driven by several factors-including the creation of multilingual language resources, the rise of community-led initiatives, and increased support through funding programs. In this survey, we analyze 884 research papers on NLP for African languages published over the past five years, offering a comprehensive overview of recent progress across core tasks. We identify key trends shaping the field and conclude by outlining promising directions to foster more inclusive and sustainable NLP research for African languages.
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。
