Grammatical error correction (GEC) is an important application aspect of natural language
processing techniques, and GEC system is a kind of very important intelligent system that …

The CoNLL-2014 shared task was devoted to grammatical error correction of all error types.
In this paper, we give the task definition, present the data sets, and describe the evaluation …

Grammar error correction (GEC) is an important application aspect of natural language
processing techniques. The past decade has witnessed significant progress achieved in …

This paper describes our submission to the CoNLL 2014 shared task on grammatical error
correction using a hybrid approach, which includes both a rule-based and an SMT system …

In this paper, we present the first experiments using neural network models for the task of
error detection in learner writing. We perform a systematic comparison of alternative …

Discovery, specification and proper representation of various aspects of business
knowledge plays crucial part in model-driven information systems engineering, especially …

We present a summary of the first shared task on automatic text correction for Arabic text.
The shared task received 18 systems submissions from nine teams in six countries and …

Grammatical error detection (GED) in non-native writing requires systems to identify a wide
range of errors in text written by language learners. Error detection as a purely supervised …

This study introduces GAMET, which was developed to help writing researchers examine
the types and percentages of structural and mechanical errors in texts. GAMET is a desktop …

This paper explores the generation of artificial errors for correcting grammatical mistakes
made by learners of English as a second language. Artificial errors are injected into a set of …