Ildiko Pilan
Ildiko Pilan
Language Technology Group, Dept. of Informatics, University of Oslo
Verified email at ifi.uio.no - Homepage
TitleCited byYear
Rule-based and machine learning approaches for second language sentence-level readability
I Pilán, E Volodina, R Johansson
Proceedings of the ninth workshop on innovative use of NLP for building …, 2014
452014
You get what you annotate: a pedagogically annotated corpus of coursebooks for Swedish as a Second Language
E Volodina, I Pilán, SR Eide, H Heidarsson
NEALT Proceedings Series 22, 128-144, 2014
34*2014
A Readable Read: Automatic Assessment of Language Learning Materials based on Linguistic Complexity
I Pilán, S Vajjala, E Volodina
Presented at CICLING 2015. To appear in International Journal of …, 2016
262016
Swell on the rise: Swedish learner language corpus for European reference level studies
E Volodina, I Pilán, I Enström, L Llozhi, P Lundkvist, G Sundberg, ...
arXiv preprint arXiv:1604.06583, 2016
242016
SVALex: a CEFR-graded lexical resource for Swedish foreign and second language learners
T François, E Volodina, I Pilán, A Tack
Proceedings of the Tenth International Conference on Language Resources and …, 2016
222016
Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks
I Pilán, E Volodina, T Zesch
Proceedings of COLING 2016, the 26th International Conference on …, 2016
192016
A flexible language learning platform based on language resources and web services.
E Volodina, I Pilán, L Borin, TL Tiedemann
LREC, 3973-3978, 2014
152014
Candidate sentence selection for language learning exercises: from a comprehensive framework to an empirical evaluation
I Pilán, E Volodina, L Borin
arXiv preprint arXiv:1706.03530, 2017
132017
Automatic selection of suitable sentences for language learning exercises
I Pilán, E Volodina, R Johansson
20 Years of EUROCALL: Learning from the Past, Looking to the Future: 2013 …, 2013
132013
SweLLex: second language learners’ productive vocabulary
E Volodina, I Pilán, L Llozhi, B Degryse, T François
Proceedings of the joint workshop on NLP for Computer Assisted Language …, 2016
112016
From distributions to labels: A lexical proficiency analysis using learner corpora
D Alfter, Y Bizzoni, A Agebjórn, E Volodina, I Pilán
Proceedings of the joint workshop on NLP for Computer Assisted Language …, 2016
102016
Classification of Swedish learner essays by CEFR levels
E Volodina, I Pilán, D Alfter
CALL communities and culture–short papers from EUROCALL 2016, 456-461, 2016
92016
The image of the monolingual dictionary across Europe. Results of the European survey of dictionary use and culture
I Kosem, R Lew, C Müller-Spitzer, M Ribeiro Silveira, S Wolfer, A Dorn, ...
International Journal of Lexicography 32 (1), 92-114, 2019
82019
Towards a gold standard for Swedish CEFR-based ICALL
E Volodina, D Pijetlovic, I Pilán, SJ Kokkinakis
Proceedings of the second workshop on NLP for computer-assisted language …, 2013
82013
Investigating the importance of linguistic complexity features across different datasets related to language learning
I Pilán, E Volodina
Proceedings of the Workshop on Linguistic Complexity and Natural Language …, 2018
72018
Coursebook texts as a helping hand for classifying linguistic complexity in language learners’ writings
I Pilán, D Alfter, E Volodina
Proceedings of the Workshop on Computational Linguistics for Linguistic …, 2016
72016
Classification of language proficiency levels in Swedish learners’ texts
I Pilán, E Volodina
Proceedings of Swedish language technology conference, 2016
32016
Reusing Swedish FrameNet for training semantic roles.
I Pilán, E Volodina
LREC, 1359-1363, 2014
32014
State-of-the-art on monolingual lexicography for Sweden
E Sköldberg, L Holmer, E Volodina, I Pilán
Slovenščina 2.0: empirical, applied and interdisciplinary research 7 (1), 13-24, 2019
22019
Detecting context dependence in exercise item candidates selected from corpora
I Pilán
arXiv preprint arXiv:1605.01845, 2016
22016
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Articles 1–20