Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
Linguistic issues in the development of ReGra: A grammar checker for Brazilian Portuguese
Natural Language Engineering
Triphone analysis: a combined method for the correction of orthographical and typographical errors
ANLC '88 Proceedings of the second conference on Applied natural language processing
Detecting and correcting morpho-syntactic errors in real texts
ANLC '92 Proceedings of the third conference on Applied natural language processing
A prototype of a grammar checker for Czech
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
EasyEnglish: a tool for improving document quality
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
JDII: parsing Italian with a robust constraint grammar
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
GramCheck: a grammar and style checker
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Computer assisted writing system
Expert Systems with Applications: An International Journal
Intelligent computer assisted blog writing system
Expert Systems with Applications: An International Journal
| Hi-index | 0.01 |
This paper reports on work carried out to develop a spelling and grammar corrector for Danish, addressing in particular the issue of how a form of shallow parsing is combined with error detection and correction for the treatment of context-dependent spelling errors. The syntactic grammar for Danish used by the system has been developed with the aim of dealing with the most frequent error types found in a parallel corpus of unedited and proofread texts specifically collected by the project's end users. By focussing on certain grammatical constructions and certain error types, it has been possible to exploit the linguistic 'intelligence' provided by syntactic parsing and yet keep the system robust and efficient. The system described is thus superior to other existing spelling checkers for Danish in its ability to deal with context-dependent errors.