George E. Heidorn

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Dictionaries are rich sources of detailed semantic information, but in order to use the information for natural language processing, it must be organized systematically. This paper describes automatic and semi-automatic procedures for extracting and organizing semantic fea= ture information implicit in dictionary definitions. Two head-finding heuristics are(More)
Processing syntactically i l l-formed language is an important mission of the EPISTLE system, l l l formed input is treated by this system in various ways. Misspellings are highlighted by a standard spelling checker; syntactic errors are detected and corrections are suggested; and stylistic infelicities are called to the user's attention. Central to the(More)
A technique is descr ibed for pe r fo rming fitted pars ing . Af ter the rules of a more convent ional syntac t ic g r ammar are unable to produce a parse for an input s tr ing, this technique can be used to produce a reasonable approx imate parse that can serve as input to the remain ing s tages of processing. The paper descr ibes how f i t ted pars ing is(More)
gent” functions for processing business correspondence and other texts in an ofice environment. This paper focuses on the initial objectives of the system: critiquing written material on points of grammar and style. The overall system is described, with some details of the implementation, the us r interface, and the three l vels of processing, especially(More)
The experimental EPISTLE system is ultimately intended to provide office workers with intelligent applications for the processing of natural language text, particularly business correspondence. A variety of possible critiques of textual material are identified in this paper, but the discussion focuses on the system's capability to detect several classes of(More)