转录过去的西班牙语文本：使用Transkribus、Tesseract和Granite的实验
Transcribing Spanish Texts from the Past: Experiments with Transkribus, Tesseract and Granite
AI总结：
本文介绍GRESEL团队在IberLEF 2025的PastReader共享任务中，基于消费级硬件用Transkribus、Tesseract和紧凑型多模态模型开展三类OCR实验，结果满意但待改进，未来将与BNE合作探索新技术。
摘要：
本文介绍了GRESEL团队在IberLEF 2025共享任务PastReader：转录过去的文本中获得的实验和结果。为参与该任务并实现不同方法间的比较，团队开展了三类实验，包括使用基于网络的OCR服务、传统OCR引擎和紧凑型多模态模型。所有实验均在消费级硬件上运行，尽管缺乏高性能计算能力，但该硬件提供了足够的存储和稳定性。结果虽令人满意，但仍有进一步改进的空间。未来工作将与西班牙国家图书馆（BNE）合作，利用该共享任务提供的西班牙语数据集探索新技术和思路。
英文摘要：
This article presents the experiments and results obtained by the GRESEL team in the IberLEF 2025 shared task PastReader: Transcribing Texts from the Past. Three types of experiments were conducted with the dual aim of participating in the task and enabling comparisons across different approaches. These included the use of a web-based OCR service, a traditional OCR engine, and a compact multimodal model. All experiments were run on consumer-grade hardware, which, despite lacking high-performance computing capacity, provided sufficient storage and stability. The results, while satisfactory, leave room for further improvement. Future work will focus on exploring new techniques and ideas using the Spanish-language dataset provided by the shared task, in collaboration with Biblioteca Nacional de España (BNE).
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。
