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arXiv:cs.CL· Xi Cao, Yijie Li, Yuan Sun, Shiwei Dong, Zeguang Huang, Nuo Qun·· 13 小时前

藏语 NLP 进展:ACL Anthology 与 DBLP 140 篇文献的系统性计量综述

Towards the Roof of the World: NLP Progress in Tibetan Languages

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首个经同行评审的藏语 NLP 系统性文献计量综述发布,基于 ACL Anthology 和 DBLP 中 2004 至 2026 年的 140 篇论文,其中 84% 发表于 2018 年之后。中国研究机构第一作者占 87%,覆盖全部 25 个研究方向,其他国家工作则集中于古典藏语。仅 29% 的论文公开数据、代码或模型,作者指出方言覆盖、负责任 NLP 与评测资源等缺口。

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Abstract:Tibetan, spoken by some seven million people on and around the Qinghai-Xizang Plateau, remains underrepresented in natural language processing (NLP). We present, to our knowledge, the first peer-reviewed systematic bibliometric survey of Tibetan NLP: 140 publications from 2004 to 2026 in the ACL Anthology and DBLP, annotated for venue type, research area, first-affiliation country, and resource release. Output has grown rapidly, with 84% of the publications appearing since 2018, and has expanded bottom-up along the NLP pipeline, from corpora and word segmentation through script, speech, and applications to large language models (LLMs). Researchers based in China first-authored 87% of the publications, which span all 25 represented research areas, whereas work from other countries concentrates on Classical Tibetan. We argue that this full-pipeline paradigm, realized under the compounded constraints of a complex script, dialectal diversity, and geographic remoteness, offers a reference model for other low-resource languages of the Global South. We also identify gaps in dialect coverage, responsible NLP, native and comparable evaluation, cross-community visibility, and resource release (only 29% of the publications release data, code, or models), and recommend open science, shared standards, and community participation for the LLM era.
Comments: Camera-Ready Version; Accepted at ACL Findings: AACL-IJCNLP 2026
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2610.13398 [cs.CL]
  (or arXiv:2610.13398v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2610.13398

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Xi Cao [view email]
[v1] Fri, 9 Oct 2026 11:11:10 UTC (2,319 KB)

来源:arXiv:cs.CL · arxiv.org