English(EN) MUDIDI: A Two-Stage Framework for Multilingual Dictionary Digitization with Language Models

新框架利用大语言模型实现多语言词典数字化

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-03 04:00

研究人员开发了MUDIDI，一个旨在数字化多语言词典（特别是针对低资源和濒危语言）的两阶段框架。该框架解决了字符集多样、布局复杂以及词典结构保存等挑战。MUDIDI的第一阶段侧重于字符识别和标记保存，第二阶段则将词典条目分割并映射为机器可读格式。研究发现，大语言模型（LLMs）在这些任务上的表现普遍优于OCR系统和视觉语言模型，而额外的词典信息可以提升LLM的性能。 AI

影响该框架可能极大地有助于保存和普及濒危及低资源语言的语言数据。

排序理由该集群包含一篇详细介绍特定NLP任务新框架和数据集的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · David Setiawan, Temuulen Khishigsuren, Milind Agarwal, Pagnarith Pit, Aso Mahmudi, Ekaterina Vylomova · 2026-09-03 04:00

MUDIDI：一种使用语言模型的双阶段多语言词典数字化框架

arXiv:2606.09435v2 Announce Type: replace Abstract: Multilingual dictionaries are among the most valuable documentary resources for low-resource and endangered languages, yet many remain available only as scans. For many decades, their digitization and conversion into a machine-r…

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MUDIDI：一种使用语言模型的双阶段多语言词典数字化框架

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