1 code implementation • READI (LREC) 2022 • David Alfter, Rémi Cardon, Thomas François
In this article, we present an exploratory study on perceived word sense difficulty by native and non-native speakers of French.
no code implementations • WS (NoDaLiDa) 2019 • David Alfter, Johannes Graën
In this paper, we present a prototype for an online exercise aimed at learners of English and Swedish that serves multiple purposes.
no code implementations • WS (NoDaLiDa) 2019 • David Alfter, Therese Lindström Tiedemann, Elena Volodina
This article is a report from an ongoing project aiming at analyzing lexical and grammatical competences of Swedish as a Second language (L2).
no code implementations • JEP/TALN/RECITAL 2022 • Adrien Bibal, Remi Cardon, David Alfter, Rodrigo Wilkens, Xiaoou Wang, Thomas François, Patrick Watrin
Nous présentons un résumé en français et un résumé en anglais de l’article Is Attention Explanation ?
no code implementations • ACL 2022 • Adrien Bibal, Rémi Cardon, David Alfter, Rodrigo Wilkens, Xiaoou Wang, Thomas François, Patrick Watrin
In this paper, we provide a clear overview of the insights on the debate by critically confronting works from these different areas.
no code implementations • LREC 2022 • Rodrigo Wilkens, David Alfter, Xiaoou Wang, Alice Pintard, Anaïs Tack, Kevin P. Yancey, Thomas François
In this paper, we present the FABRA: readability toolkit based on the aggregation of a large number of readability predictor variables.
no code implementations • 17 Jun 2022 • David Alfter, Therese Lindström Tiedemann, Elena Volodina
In this study we investigate to which degree experts and non-experts agree on questions of difficulty in a crowdsourcing experiment.
no code implementations • 2 Sep 2020 • David Alfter
In this paper, we explore L1-specific non-words, i. e. non-words in a target language (in this case Swedish) that are re-ranked by a different-language language model.
no code implementations • LREC 2020 • Johannes Gra{\"e}n, David Alfter, Gerold Schneider
The Common European Framework of Reference for Languages (CEFR) defines six levels of learner proficiency, and links them to particular communicative abilities.
no code implementations • WS 2018 • David Alfter, Ildik{\'o} Pil{\'a}n
In this paper, we describe our experiments for the Shared Task on Complex Word Identification (CWI) 2018 (Yimam et al., 2018), hosted by the 13th Workshop on Innovative Use of NLP for Building Educational Applications (BEA) at NAACL 2018.
no code implementations • WS 2018 • David Alfter, Elena Volodina
In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language.
no code implementations • WS 2016 • Ildik{\'o} Pil{\'a}n, David Alfter, Elena Volodina
We bring together knowledge from two different types of language learning data, texts learners read and texts they write, to improve linguistic complexity classification in the latter.
1 code implementation • 6 Oct 2015 • David Alfter
This work describes a system that performs morphological analysis and generation of Pali words.
no code implementations • 6 Oct 2015 • David Alfter
I compare three approaches: supervised n-gram language models, unsupervised clustering and weakly supervised n-gram language model induction.