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We discuss ways of allowing the users of a natural language processor to define, examine, and modify the definitions of any domain-specific words or phrases known to the system. An implementation of this work forms a critical portion of the knowledge acquisition component of our Transportable English-Language Interface (TELl), which answers English questions about tabular (first normal-form) data files and runs on a Symbolics Lisp Machine. However, our techniques enable the design of customization modules that are largely independent of the syntactic and retrieval components of the specific system they supply information to. In addition to its obvious practical. | Semantic Acquisition In TELI A Transportable User-Customized Natural Language Processor Bruce w. Ballard Douglas E. Slumber ger AT T Bell Laboratories 600 Mountain Avenue Murray Hill NJ 07974 Abstract We discuss ways of allowing the users of a natural language processor to define examine and modify the definitions of any domain-specific words or phrases known to the system. An implementation of this work forms a critical portion of the knowledge acquisition component of our Transportable English-Language Interface TELI . which answers English questions about tabular first normal-form data files and runs on a Symbolics Lisp Machine. However our techniques enable the design of customization modules that are largely independent of the syntactic and retrieval components of the specific system they supply information to. In addition to its obvious practical value this area of research is important because it requires careful attention to the formalisms used by a natural language system and to the interactions among the modules based on those formalisms. 1. Introduction In constructing the Transportable English-Language Interface system TELI . we have sought to respond to problems of both an applied and a scientific nature. Concerning the applied side of computational linguistics we seek to redress the fact that many natural language prototypes despite their sophistication and even their robustness have fallen into disuse because of failures 1 to make known to users exactly what inputs are allowed e.g. what words and phrases are defined and 2 to provide capabilities that meet the precise needs of a given user or group of users e.g. appropriate vocabulary syntax and semantics . Since experience has shown that neither users nor system designers can predict in advance all the words phrases and associated meanings that will arise in accessing a given database cf. Tennant. 1979 . we have sought to make TELI transportable in an extreme sense. where customizations may be .
