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LDC-1: a transportable, knowledge-based natural language processor for office environments

Journal Article · · ACM Trans. Off. Syst.; (United States)
During the 1970s, a number of systems providing limited English-language processing capabilities were developed to permit computer access by casual or untrained users. The authors interest is in adapting and extending techniques developed for these systems, especially those used in database query systems and their own English-language programming language system (NLC), for use in office environments. This paper describes the layered domain class system LDC, a state-of-the-art natural language processor whose major goals are (1) to provide english-language retrieval capabilities for medium-sized office domains that have been stored on the computer as text-edited files, as opposed to more restrictive database structure; and (2) to eliminate the need to call in the system designer when extensions into new domains are desired, without sacrificing the depth or reliability of the interface. In this paper the authors (a) provide an overview of LDC, including sample inputs; (b) briefly discuss the role of each module of the system, with special attention to provisions for users to adapt the system to deal with new types of data; and (c) consider the relation of our system to other formal and natural language interfaces that are in use or under development. 77 references.
Research Organization:
Duke Univ., Durham, NC
OSTI ID:
6439315
Journal Information:
ACM Trans. Off. Syst.; (United States), Journal Name: ACM Trans. Off. Syst.; (United States) Vol. 1; ISSN ATOSD
Country of Publication:
United States
Language:
English