Proceedings ArticleDOI
An adaptive scheme for handling deletion spelling errors' for an intelligent e-learning system
Udit Kumar Chakraborty,Sankhyayan Chowdhury,Samir Roy +2 more
- pp 260-263
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TLDR
An adaptive scheme for handling spelling errors by an e-learner while responding to the e-learning system through typed-in single-word responses is presented and shows that the scheme intelligent recognises the misspelled words as expected to be done by a human instructor.Abstract:
An adaptive scheme for handling spelling errors by an e-learner while responding to the e-learning system through typed-in single-word responses is presented in this paper. To simulate the behaviour of a human instructor, the system preprocesses the input word with respect to spelling errors due to wrong letter or missing letter. The appropriately encoded input is then to fed into a neural net that intelligently recognizes the correct response, in spite of minor spelling mistakes committed by the learner. Results show that the scheme intelligent recognises the misspelled words as expected to be done by a human instructor.read more
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Optimized web search results through additional retrieval lists inferred using WordNet similarity measure
TL;DR: The main objective is to improve the efficiency of search results suggested by the search engine in response to a query by constructing alternate queries for the main query given by the user.
References
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Journal ArticleDOI
Intelligent tutoring systems
TL;DR: Computer tutors based on a set of pedagogical principles derived from the ACT theory of cognition have been developed for teaching students to do proofs in geometry and to write computer programs in the language LISP.
Journal ArticleDOI
Techniques for automatically correcting words in text
TL;DR: Research aimed at correcting words in text has focused on three progressively more difficult problems: nonword error detection; (2) isolated-word error correction; and (3) context-dependent work correction, which surveys documented findings on spelling error patterns.
Proceedings ArticleDOI
Neural Network Recognition of Spelling Errors
TL;DR: This paper shows that input/output representations can in fact affect the performance of ANNs in the case of natural language words, and traditional and new word representations are evaluated for their ability to recognize words in the presence of typographical noise.
Proceedings ArticleDOI
Neural network based intelligent analysis of learners' response for an e-Learning environment
Udit Kr. Chakraborty,Samir Roy +1 more
TL;DR: Experimental results, carried out on a wide variety of sample responses show that the proposed scheme successfully simulates a human instructor communicating with the learner through single-word typed-in text.