In this paper, we show that a noisy channel model instantiated within the paradigm of Statistical Machine Translation (SMT) (Brown et al., 1993) can successfully provide editorial assistance for non-native writers.
the SMT approach provides a natural mechanism for suggesting a correction, rather than simply stranding the user with a flag indicating that the text contains an error.