Abstract
Newspapers are rich records of U.S. history. Due to the deterioration of older newspapers, the National Endowment for the Humanities is archiving 19th century newspapers on microlm. Although microlm is a good preservation method, it provides limited access to researchers and the general public. We are building a system to provide universal access to digital images and full-text content of historical newspapers. The system has three main components: (a) An Optical Character Recognition (OCR) module that converts digitized images into searchable text and identies regions. (b) An Information Retrieval module that applies linguistic information to aid in segmentation, indexing, and retrieval of the noisy OCR’d text. (c) A User Interface module that allows historians and educators to query and view retrieved documents. Thus far, we have developed two OCR techniques targeted to processing historical newspapers and we have built a user interface to search the OCR output and superimpose matches on a page image from the newspaper.
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