Pseudonymization of learner essays as a way to meet GDPR requirements

This blog is based on the author’s (Elena Volodina’s) joint research with Yousuf (Samir) Ali Mohammed, Arild Matsson, Beáta Megyesi and Sandra Derbring Access to language data is an obvious prerequisite for research in digital humanities in general, and for the development of NLP-based tools in particular. However, accessible data becomes a challenging target where personal data is involved. This is very true of language learner data where tasks are often phrased so that they, directly or indirectly, elicit explicit personal information, …

Common Pitfalls in the Development of ICALL Applications

This blog is a piece of opinion where I sketch the process of developing NLP-based applications for second language learning and look at the process from the point of view of typical (mis)conceptions and challenges, as I have experienced them. Are we over-trusting the potential of NLP? Are teachers by definition reluctant to use NLP-based solutions in classrooms? How, if at all, can academic universities ensure sustainability of the developed applications? 1 Introduction Natural Language Processing (NLP) and Language Technology (LT) deal …