ITR/IM: Digitizing the Burney Collection of Early English Newspapers

ITR/IM：对伯尼早期英文报纸收藏进行数字化

• 批准号: 0219461
• 负责人: Henry Snyder
• 金额: $ 30.3万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0219461&HistoricalAwards=false
• 关键词: ITR; IM; Digitizing; Burney; Collection

The Center for Bibliographical Studies at the University of California, Riverside, is in the process of digitizing the Burney Collection of eighteenth-century English newspapers at the British Library. Access is currently possible only through a single microfilm copy in the reading room, because of the fragility of the originals. Use of even a digitized version could remain cumbersome and time-consuming because of the large size of the collection, 650,000 pages, and access limited by date and title. Heretofore the vagaries of handset type, uneven lines, broken letters, smudged or changing ink intensities and yellowing paper, it has not been possible produce an accurate, searchable text through available optical character reading software. The emergence of new technologies now enables the Center to produce a searchable text with a high degree of accuracy. A fully searchable text linked to digital images will permit extraordinary access and unlock for researchers the incredibly rich range of data the Collection contains. The result will provide a new model for accessing both periodicals and monographs of the hand-press era. It will open up whole new research strategies and topics. And it will extend the wonders of computer-based text searching to the corpus of texts that form the foundation of the modern world.

加利福尼亚大学河滨分校的书目研究中心正在大英图书馆数字化18世纪英语报纸的伯尼集合。 目前，由于原始作品的脆弱性，目前仅通过阅读室中的单个缩微胶片副本才能访问。甚至使用数字化版本的使用可能仍然繁琐且耗时，因为该系列的尺寸较大，650,000页，并且按日期和标题访问限制。 迄今为止，手机类型的变化，不平坦的线条，破碎的字母，污迹或更改墨水强度和泛黄纸，不可能通过可用的光学角色阅读软件来产生准确的，可搜索的文本。 现在，新技术的出现使该中心能够以高度准确性生产可搜索的文本。 链接到数字图像的完全可搜索的文本将允许非凡的访问权限，并为研究人员解锁该集合所包含的多种数据范围。 结果将为访问手动时代的期刊和专着提供新的模型。 它将开辟全新的研究策略和主题。 它将将基于计算机的文本搜索的奇观扩展到构成现代世界基础的文本语料库。