no code implementations • RANLP 2021 • Yu Chen, Tania Avgustinova
With the emergence of pre-trained multilingual models, multilingual embeddings have been widely applied in various natural language processing tasks.
no code implementations • LREC 2022 • Irina Stenger, Philip Georgis, Tania Avgustinova, Bernd Möbius, Dietrich Klakow
We focus on the syntactic variation and measure syntactic distances between nine Slavic languages (Belarusian, Bulgarian, Croatian, Czech, Polish, Slovak, Slovene, Russian, and Ukrainian) using symmetric measures of insertion, deletion and movement of syntactic units in the parallel sentences of the fable “The North Wind and the Sun”.
no code implementations • RANLP 2021 • Marius Mosbach, Irina Stenger, Tania Avgustinova, Bernd Möbius, Dietrich Klakow
We present an extended version of a tool developed for calculating linguistic distances and asymmetries in auditory perception of closely related languages.
1 code implementation • EMNLP (BlackboxNLP) 2021 • Badr M. Abdullah, Iuliia Zaitova, Tania Avgustinova, Bernd Möbius, Dietrich Klakow
We further discuss the implications of our work on modeling speech processing and language similarity with neural networks.
no code implementations • VarDial (COLING) 2020 • Badr M. Abdullah, Jacek Kudera, Tania Avgustinova, Bernd Möbius, Dietrich Klakow
In this paper, we present a neural model for Slavic language identification in speech signals and analyze its emergent representations to investigate whether they reflect objective measures of language relatedness and/or non-linguists' perception of language similarity.
1 code implementation • 2 Aug 2020 • Badr M. Abdullah, Tania Avgustinova, Bernd Möbius, Dietrich Klakow
State-of-the-art spoken language identification (LID) systems, which are based on end-to-end deep neural networks, have shown remarkable success not only in discriminating between distant languages but also between closely-related languages or even different spoken varieties of the same language.
no code implementations • LREC 2020 • Irina Stenger, Klara Jagrova, Tania Avgustinova
We report on a web-based resource for conducting intercomprehension experiments with native speakers of Slavic languages and present our methods for measuring linguistic distances and asymmetries in receptive multilingualism.
no code implementations • RANLP 2019 • Marius Mosbach, Irina Stenger, Tania Avgustinova, Dietrich Klakow
Languages may be differently distant from each other and their mutual intelligibility may be asymmetric.
no code implementations • WS 2019 • Yu Chen, Tania Avgustinova
Within the first shared task on machine translation between similar languages, we present our first attempts on Czech to Polish machine translation from an intercomprehension perspective.
no code implementations • LREC 2016 • Andrea Fischer, Kl{\'a}ra J{\'a}grov{\'a}, Irina Stenger, Tania Avgustinova, Dietrich Klakow, Rol Marti,
In an intercomprehension scenario, typically a native speaker of language L1 is confronted with output from an unknown, but related language L2.
no code implementations • LREC 2012 • Antske Fokkens, Tania Avgustinova, Yi Zhang
This paper introduces the CLIMB (Comparative Libraries of Implementations with Matrix Basis) methodology and grammars.