The CoNLL-2013 shared task was devoted to grammatical error correction. In this paper, we give the task definition, present the data sets, and describe the evaluation metric and scorer used in the shared task. We also give an overview of the various approaches adopted by the participating teams, and present the evaluation results.

We aim to sufficiently define annotation for post-positional particle errors in L2 Korean writing, so that future work on automatic particle error detection can make progress. To achieve this goal, we outline the linguistic properties of Korean particles in learner data. Given the agglutinative nature of Korean and the range of functions of particles, this annotation effort involves issues such...

Northwestern University,

If the calculation of the critical length is based on the expurgated exponent, the length becomes nonzero for low error probabilities. This result applies to typical long codes, but it may also be useful for modeling error events in specific codes.

Incorrect usage of prepositions and determiners constitute the most common types of errors made by non-native speakers of English. It is not surprising, then, that there has been a significant amount of work directed towards the automated detection and correction of such errors. However, to date, the use of different data sets and different task definitions has made it difficult to compare work...

This paper explores the issue of automatically generated ungrammatical data and its use in error detection, with a focus on the task of classifying a sentence as grammatical or ungrammatical. We present an error generation tool called GenERRate and show how GenERRate can be used to improve the performance of a classifier on learner data. We describe initial attempts to replicate Cambridge Learn...

We present a study of the impact of morphological and syntactic ambiguity in the process of grammatical error detection. We will present three different systems that have been devised with the objective of detecting grammatical errors in Basque and will examine the influence of ambiguity in their results. We infer that the ambiguity rate in the input to an error detection tool can have a consid...