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Báo cáo khoa học: "Spelling Correction Using Context*"

This paper describes a spelling correction system that functions as part of an intelligent tutor that carries on a natural language dialogue with its users. The process that searches the lexicon is adaptive as is the system filter, to speed up the process. The basis of our approach is the interaction between the parser and the spelling corrector. Alternative correction targets are fed back to the parser, which does a series of syntactic and semantic checks, based on the dialogue context, the sentence context, and the phrase context. phrases that are used in the correction process. . | Spelling Correction Using Context Mohammad All Elmi and Martha Evens Department of Computer Science Illinois Institute of Technology 10 West 31 Street Chicago Illinois 60616 csevens@minna.iit.edu Abstract This paper describes a spelling coưection system that functions as part of an intelligent tutor that carries on a natural language dialogue with its users. The process that searches the lexicon is adaptive as is the system filter to speed up the process. The basis of our approach is the interaction between the parser and the spelling corrector. Alternative correction targets are fed back to the parser which does a series of syntactic and semantic checks based on the dialogue context the sentence context and the phrase context. 1. Introduction This paper describes how context-dependent spelling correction is performed in a natural language dialogue system under control of the parser. Our spelling correction system is a functioning part of an intelligent tutoring system called Circsim-Tutor Elmi 94 designed to help medical students learn the language and the techniques for causal reasoning necessary to solve problems in cardiovascular physiology. The users type in answers to questions and requests for information. In this kind of man-machine dialogue spelling correction is essential. The input is full of errors. Most medical students have little experience with keyboards and they constantly invent novel abbreviations. After typing a few characters of a long word users often decide to quit. Apparently the user types a few characters and decides that s he has given the reader enough of a hint so we get spec for specification. The approach to spelling correction is necessarily different from that used in word processing or other authoring systems which submit candidate corrections and ask the user to make a selection. Our system must make automatic corrections and make them rapidly since the system has only a few seconds to parse the student input update the student .