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32

ANLP
2000

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An Unsupervised Method for Detecting Grammatical Errors

14 years 8 days ago

An Unsupervised Method for Detecting Grammatical Errors

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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.

Martin Chodorow, Claudia Leacock

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ANLP 2000 | Essay-length Responses | Grammatical Errors | Unsupervised Method |

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Added	01 Nov 2010
Updated	01 Nov 2010
Type	Conference
Year	2000
Where	ANLP
Authors	Martin Chodorow, Claudia Leacock

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