Michael Gamon

Microsoft Research

Correcting non-native English using mostly native data

The world's population of non-native speakers of English is at least twice the size of the native English population. Despite the huge potential for tools to help with non-native writing, tools for automatic error detection and correction are still in their infancy. We show one particular approach that uses a large set of native data and a small set of annotated error data to detect and correct typical errors in non-native English writing.

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