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