The purpose of this project was to create a machine-readable format for genealogical data. The Library of Congress MARC (Machine Readable Cataloging) bibliographic system was used as the pattern in producing the format. Tags and codes were used to uniquely identify the components of the record for computer manipulation. The resultant structure,…

The report documents performance on a 24-month R&D effort oriented toward the development of a computerized model for machine translation of natural languages. The model is built around a set of procedures called verbalization, intended to stimulate the processes employed by a speaker or writer in turning stored information into words.…

An intermediate lexicon is described that employs a technique which allows, for a given subject area, the automatic translation of subject indexing from one indexing scheme into another. The lexicon was structured according to the principles of faceted classification and contained approximately 1,000 entries covering the field of library and…

The goal of this project was to find ways of enhancing the efficiency of searching machine readable data bases. Ways are sought to transfer to the computer some of the tasks that are normally performed by the user, i.e., to further automate information retrieval. Four experiments were conducted to test the feasibility of a sequential processing…

The ERIC network conversion to an OCR (Optical Character Recognition) mode of data entry was studied to analyze the potential effectiveness of OCR data entry for future EPC/s (Editorial Processing Centers). Study results are also applicable to any other system involving decentralized bibliographic data capture and conversion functions. The report…