Publication | Closed Access
An unsupervised method for detecting grammatical errors
127
Citations
8
References
2000
Year
Unknown Venue
Syntactic ParsingPart-of-speech TaggingTextual EntailmentCorpus LinguisticsErrorrecognition SystemNatural Language ProcessingApplied LinguisticsSyntaxLanguage DocumentationNegative EvidenceComputational LinguisticsLanguage TestingLanguage EngineeringGrammatical ErrorsGrammarLanguage StudiesMachine TranslationNlp TaskGrammar InductionError AnalysisLanguage CorpusArtsLinguistics
We present an unsupervised method for detecting grammatical errors by inferring negative evidence from edited textual corpora. The system was developed and tested using essay-length responses to prompts on the Test of English as a Foreign Language (TOEFL). The errorrecognition system, ALEK, performs with about 80% precision and 20% recall.
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