This paper discusses the corpus annotation effort in the FLAG project and its application in the development of controlled language and grammar checking applications. A USENET corpus was collected and annotated using the error typology developed in the project. The DiET tool was used to support the automatic annotation effort, and to evaluate and validate the data. Finally, we report on some in...

This paper examines two techniques of manual evaluation that can be used to identify error types of individual machine translation systems. The first technique of “blind post-editing” is being used in WMT evaluation campaigns since 2009 and manually constructed data of this type are available for various language pairs. The second technique of explicitmarking of errors has been used in the past...

The present study tested error detection theories of the error-related negativity (ERN) by investigating the relation between ERN amplitude and error detectability. To this end, ERN amplitudes were compared with a behavioral measure of error detectability across two different error types in a four-choice flanker task. If an erroneous response was associated with the flankers, it was considered ...