This paper proposes a novel approach to the problem of training classifiers to detect and correct grammar and usage errors in text by selectively introducing mistakes into the tra...
This paper presents research on building a model of grammatical error correction, for preposition errors in particular, in English text produced by language learners. Unlike most ...
Na-Rae Han, Joel R. Tetreault, Soo-Hwa Lee, Jin-Yo...
This paper presents a pilot study of the use of phrasal Statistical Machine Translation (SMT) techniques to identify and correct writing errors made by learners of English as a Se...
Multimodal input is known to be advantageous for graphical user interfaces, but its benefits for non-visual interaction are unknown. To explore this issue, an exploratory study wa...
This paper addresses the problem of correcting spelling errors that result in valid, though unintended words (such as peace and piece, or quiet and quite) and also the problem of ...