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A classifier-based approach to preposition and determiner error correction in L2 English

Abstract:
In this paper, we present an approach to the automatic identification and correction of preposition and determiner errors in non-native (L2) English writing. We show that models of use for these parts of speech can be learned with an accuracy of 70.06% and 92.15% respectively on LI text, and present first results in an error detection task for L2 writing. © 2008 Licensed under the Creative Commons.

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Authors


De Felice, R More by this author
Pulman, SG More by this author
Volume:
1
Pages:
169-176
Publication date:
2008
URN:
uuid:ac86ad94-61fb-4888-8557-2afae7be39d1
Source identifiers:
305879
Local pid:
pubs:305879
ISBN:
9781905593446

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