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...
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| Format: | Conference item |
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2008
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