We describe the system entered by the National Research Council Canada in the SemEval-2014 L2 writing assistant task. Our system relies on a standard Phrase-Based Statistical Machine Translation trained on generic, publicly available data. Translations are produced by taking the already translated part of the sentence as fixed context. We show that translation systems can address the L2 writing...

This paper reviews and reflects on developments in classroom-based research second or foreign language (L2) writing from 2001 to 2020, based scholarship drawn the Journal of Second Language Writing, flagship journal field. The review covers a total 75 studies examines major themes key findings under three strands: (1) students student learning writing; (2) teachers teaching (3) classroom assess...

In this article, we present an approach to the automatic correction of preposition errors in L2 English. Our system, based on a maximum entropy classifier, achieves average precision of 42% and recall of 35% on this task. The discussion of results obtained on correct and incorrect data aims to establish what characteristics of L2 writing prove particularly problematic in this task.

The purpose of the study is to compare the writing proficiencies of firstand second-language learners and to examine their teachers’ beliefs about the writing students produce. The four fifth-graders were nominated by their teachers as either strong or weak writers. Text analysis methods were used to analyze the writing proficiencies manifested in the compositions and interviews with the teache...