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, …

How reliable is sense disambiguation in texts by native and non-native speakers?

(This blog is based on a joint research and publication in collaboration with David Alfter, Therese Lindström Tiedemann, Maisa Lauriala and Daniela Piipponen) At our department, and outside, we are used to search Korp corpora using the linguistic categories available there. Some of us know that these linguistic categories come as a result of automatic annotation by the Sparv-pipeline. The pipeline automatically splits raw text into tokens, sentences, finds a base form to each of the running (inflected) words, assigns word classes, …

Korp searches in Second Language data

Korp offers a lot of different corpus collections for various types of search (and research). Swedish as a Second Language (L2) is one of the subcategories of the language that can be studied with the help of Korp. At the moment, Korp provides access to five L2 corpora through its interface: ASU – Andraspråksutveckling SpIn – texts from the centrum for Språkintroduktion SW1203 – texts from a preparatory course for university students SweLL – Swedish Learner Language – adult-written essays from a …

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 …