activity
20162023
most citedA Readable Read: Automatic Assessment of Language Learning Materials based on Linguistic Complexity

36 citations · 68 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

6 papers · 1 filter

cs.CL2023

Grandma Karl is 27 years old -- research agenda for pseudonymization of research data

Elena Volodina, Simon Dobnik, Therese Lindström Tiedemann +1

Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the personal and sensitive information which it cont…

cs.CL2022★ 5 cited

Crowdsourcing Relative Rankings of Multi-Word Expressions: Experts versus Non-Experts

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. We ask non-experts (second language learners of…

cs.CL2021★ 7 cited

DaLAJ - a dataset for linguistic acceptability judgments for Swedish: Format, baseline, sharing

Elena Volodina, Yousuf Ali Mohammed, Julia Klezl

We present DaLAJ 1.0, a Dataset for Linguistic Acceptability Judgments for Swedish, comprising 9 596 sentences in its first version; and the initial experiment using it for the bin…

cs.CL2017★ 20 cited

Candidate sentence selection for language learning exercises: from a comprehensive framework to an empirical evaluation

Ildikó Pilán, Elena Volodina, Lars Borin

We present a framework and its implementation relying on Natural Language Processing methods, which aims at the identification of exercise item candidates from corpora. The hybrid…

cs.CL2016

SweLL on the rise: Swedish Learner Language corpus for European Reference Level studies

Elena Volodina, Ildikó Pilán, Ingegerd Enström +4

We present a new resource for Swedish, SweLL, a corpus of Swedish Learner essays linked to learners' performance according to the Common European Framework of Reference (CEFR). Swe…

cs.CL2016★ 36 cited

A Readable Read: Automatic Assessment of Language Learning Materials based on Linguistic Complexity

Ildikó Pilán, Sowmya Vajjala, Elena Volodina

Corpora and web texts can become a rich language learning resource if we have a means of assessing whether they are linguistically appropriate for learners at a given proficiency l…