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English(EN) Mapping Armenian Paris: Extracting and Geocoding Commercial Advertisements from the 20th-Century Diaspora Press

VLMs 从20世纪法国历史报刊中绘制亚美尼亚侨民广告

研究人员开发了一个新颖的流程,用于从法国数字化20世纪亚美尼亚报纸中提取和地理编码商业广告。该系统利用视觉语言模型(VLMs)来克服资源匮乏的西亚美尼亚语处理以及扫描历史文件质量差的挑战。该项目引入了一个带有广告注释的西亚美尼亚语报刊新语料库,以及一个适用于类似历史语言数据的可复现工作流程。 AI

影响 展示了VLM在资源匮乏的历史语言方面的有效性,可能为数字人文领域开辟新的研究途径。

排序理由 该项目是一篇学术论文,详细介绍了使用AI处理历史文件的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

VLMs 从20世纪法国历史报刊中绘制亚美尼亚侨民广告

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该项目是一篇学术论文,详细介绍了使用AI处理历史文件的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chahan Vidal-Gor\`ene (CJM, LIPN), Seda Kirakosyan (UFAR), Edita Matevosyan (UFAR) ·

    绘制亚美尼亚巴黎:从20世纪侨民报刊中提取和地理编码商业广告

    arXiv:2608.05911v1 Announce Type: new Abstract: This paper presents an end-to-end, IIIF-based pipeline that turns the digitised Armenian press of France into an interactive map of the 20th-century Parisian Armenian commercial community. On each page, commercial advertisements are…