Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text
Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text
Scaling Up Context-Sensitive Text Correction
Proceedings of the Thirteenth Conference on Innovative Applications of Artificial Intelligence Conference
Corpus-based syntactic error detection using syntactic patterns
Proceedings of the workshop on Student research
Designing spelling correctors for inflected languages using lexical transducers
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Towards a more user-friendly correction
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Error diagnosing and selection in a training system: for second language learning
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Using machine learning techniques to build a comma checker for Basque
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
IceTAL'10 Proceedings of the 7th international conference on Advances in natural language processing
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This paper presents the design and development of a system for the detection and correction of syntactic errors in free texts. The system is composed of three main modules: a) a robust syntactic analyser, b) a compiler that will translate error processing rules, and c) a module that coordinates the results of the analyser, applying different combinations of the already compiled error rules. The use of the syntactic analyser (a) and the rule processor (b) is independent and not necessarily sequential. The specification language used for the description of the error detection/correction rules is abstract, general, declarative, and based on linguistic information.