A Winnow-Based Approach to Context-Sensitive Spelling Correction
Machine Learning - Special issue on natural language learning
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
Linguistic issues in the development of ReGra: A grammar checker for Brazilian Portuguese
Natural Language Engineering
Combining stochastic and rule-based methods for disambiguation in agglutinative languages
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
The ups and downs of preposition error detection in ESL writing
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
GenERRate: generating errors for use in grammatical error detection
EdAppsNLP '09 Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications
The effect of correcting grammatical errors on parse probabilities
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Design and development of a system for the detection of agreement errors in basque
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
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We present a system for the detection of agreement errors in Basque, a language with agglutinative morphology and free order of the main sentence constituents. Due to their complexity, agreement errors are one of the most frequent error types found in written texts. As the constituents concerning agreement can appear in any order in the sentence, we have implemented a system that makes use of dependency trees of the sentence, which abstract over specific constituent orders. We have used Saroi, a tool that obtains the analysis trees that fulfill a set of restrictions described by means of declarative rules. This tool is applied to the output of two dependency analyzers: Maltixa (data-driven) and EDGK (rule-based). The system has been evaluated on two corpora: a group of texts containing errors, and another one composed of correct texts. As a secondary result, we have also estimated a measure of the impact of syntactic ambiguity on the quality of the results.