Unlocking the Colonial Archive: Harnessing Artificial Intelligence for Indigenous and Spanish American Historical Collections

解锁殖民档案:利用人工智能收集土著和西班牙裔美国人的历史收藏

基本信息

  • 批准号:
    AH/V009559/1
  • 负责人:
  • 金额:
    $ 26.49万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2021
  • 资助国家:
    英国
  • 起止时间:
    2021 至 无数据
  • 项目状态:
    未结题

项目摘要

The Spanish empire controlled the vast majority of the western hemisphere's lands and peoples for more than three centuries. Its vast administration in the Americas depended on the work of royal notaries, Indigenous artists, and printers. They produced prodigious amounts of documents, written or printed on paper, which fill archives and libraries today. Despite the extensive documentation, present-day understanding of the Spanish colonial enterprise is fragmentary. Once the initial barrier of archival access has been overcome, scholars and other publics then must decipher archaic penmanship, obscure writing conventions, and unfamiliar Indigenous imagery. This project seeks to lower these barriers by introducing artificial intelligence (AI) technologies into representative Indigenous and Spanish colonial archives in Mexico and the U.S., and training them to convert the "unreadable" archive into worldwide accessible data. The project has the potential to revolutionize how cultural institutions provide access to their colonial collections and how humanities researchers can undertake cutting-edge digital scholarship. In a highly interdisciplinary collaboration between archaeologists, historians, web scientists, designers, and computer scientists, the "Unlocking the Colonial Archive" project will create a step-change in the way a broad spectrum of researchers and the public engage with and use countless early modern Indigenous and Spanish collections dispersed throughout the world. Using machine learning and the exceptional collections of the LLILAS Benson library (US) and the General Archive of the Nation (Mexico), the project will tackle three challenges in interconnected research areas to: (a) accomplish the automated transcription of 16th- and 17th-century historical colonial documents that combine Spanish with Indigenous languages such as Nahuatl, Mixtec, Huastec, and Otomi, among others; (b) develop methods to carry out text mining in large historical collections; and (c) develop techniques to facilitate the automated identification of iconographic and other pictorial features in Indigenous maps and printed books. The development of such approaches will not only facilitate the searching, retrieval, and reading of these materials, but will also transform the accessibility and analysis of large textual and image collections. With a strong commitment to a decolonial approach, both in terms of archival practices and in the critical use of technologies, the project will create freely available, enhanced open digital collections. As such, "Unlocking the Colonial Archive" will work in close partnership with Mexican, UK, US, Portuguese, and Spanish researchers and institutions, training scholars and interested members of the public on transferable skills and digital methods, and it will produce innovative, reproducible workflows that Latin American scholars and cultural institutions around the world can adopt and implement.
西班牙帝国控制了西半球绝大多数的土地和人民超过三个世纪。它在美洲的庞大行政管理依赖于皇家公证人、土著艺术家和印刷商的工作。他们制作了数量惊人的书面或印刷在纸上的文件,这些文件今天填满了档案馆和图书馆。尽管有大量的文献,但目前对西班牙殖民事业的了解是零碎的。一旦档案访问的最初障碍被克服,学者和其他公众就必须破译古老的书法,晦涩的写作惯例和不熟悉的土著图像。该项目旨在通过将人工智能(AI)技术引入墨西哥和美国的代表性土著和西班牙殖民档案来降低这些障碍,并训练他们将“不可读”的档案转化为全球可访问的数据。该项目有可能彻底改变文化机构如何提供他们的殖民地收藏品,以及人文研究人员如何进行尖端的数字奖学金。在考古学家,历史学家,网络科学家,设计师和计算机科学家之间的高度跨学科合作中,“解锁殖民档案”项目将在广泛的研究人员和公众参与和使用分散在世界各地的无数早期现代土著和西班牙收藏品的方式上创造一个步骤变化。利用机器学习和LLILAS Benson图书馆(美国)和国家总档案馆(墨西哥)的特殊收藏,该项目将解决相互关联的研究领域的三个挑战:(a)完成16世纪和17世纪历史殖民文献的自动化转录,这些文献将联合收割机西班牙语与土著语言(如纳瓦特尔语,米斯特克语,瓦斯特克语和奥托米语等)结合起来;(B)开发方法,在大量历史收藏中进行文本挖掘;(c)开发技术,促进自动识别土著地图和印刷书籍中的图像和其他图像特征。这种方法的发展不仅将促进这些材料的搜索、检索和阅读,而且还将改变对大量文本和图像集的可访问性和分析。该项目在档案做法和关键技术使用方面都坚决致力于非殖民地办法,将创建免费提供的、增强的开放数字收藏。因此,“解锁殖民地档案”将与墨西哥,英国,美国,葡萄牙和西班牙的研究人员和机构密切合作,培训学者和感兴趣的公众成员可转移的技能和数字方法,它将产生创新的,可复制的工作流程,拉丁美洲学者和世界各地的文化机构可以采用和实施。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An Ontological Approach for Unlocking the Colonial Archive
  • DOI:
    10.1145/3594727
  • 发表时间:
    2023-04
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Gustavo Candela;J. Pereda;Dolores Sáez;Pilar Escobar;Alexander Sánchez;Andrés Villa Torres;Albert A. Palacios;Kelly S. Mcdonough;Patricia Murrieta-Flores
  • 通讯作者:
    Gustavo Candela;J. Pereda;Dolores Sáez;Pilar Escobar;Alexander Sánchez;Andrés Villa Torres;Albert A. Palacios;Kelly S. Mcdonough;Patricia Murrieta-Flores
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Patricia Murrieta-Flores其他文献

Patricia Murrieta-Flores的其他文献

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{{ truncateString('Patricia Murrieta-Flores', 18)}}的其他基金

The New Spain Fleets: Delving into three centuries of socioeconomic colonial history through Artificial Intelligence
新西班牙舰队:通过人工智能深入研究三个世纪的社会经济殖民历史
  • 批准号:
    ES/X013774/1
  • 财政年份:
    2024
  • 资助金额:
    $ 26.49万
  • 项目类别:
    Research Grant
Implementing Artificial Intelligence to unlock the Library of Congress Spanish American historical collections (1500-1699)
实施人工智能解锁国会图书馆的西班牙裔美国人历史馆藏(1500-1699)
  • 批准号:
    AH/X008851/1
  • 财政年份:
    2023
  • 资助金额:
    $ 26.49万
  • 项目类别:
    Fellowship
Digging into Early Colonial Mexico: A large-scale computational analysis of 16th century historical sources
深入探索墨西哥早期殖民时期:对 16 世纪历史资料的大规模计算分析
  • 批准号:
    ES/R003890/1
  • 财政年份:
    2017
  • 资助金额:
    $ 26.49万
  • 项目类别:
    Research Grant

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