The Archive of Estonian Dialects and Finno-Ugric Languages at the Institute of the Estonian Language [PDF]
Uralica Helsingiensia, 2019 This report gives an overview of the materials in the Archive of Estonian Dialects and Finno-Ugric Languages (AEDFUL) at the Institute of the Estonian Language (IEL). The AEDFUL holds the world’s largest collection of Estonian dialect examples as well as many other materials on other Finno-Ugric languages. Materials in the AEDFUL have been collected by
Liis Ermus +2 more
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Digital cultural heritage and revitalization of endangered Finno-Ugric languages [PDF]
Digital Humanities in the Nordic and Baltic Countries Publications, 2018 The preservation of linguistic diversity has long been recognized as a crucial, integral part of supporting our cultural heritage. Yet many “minority” languages — those that lack official state status — are in decline, many severely endangered. We present a prototype system aimed at “heritage” speakers of endangered Finno-Ugric languages.
Anisia Katinskaia, Roman Yangarber
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Features of the Functioning of Preverbs in Languages Finno-Ugric Group
Nizhnevartovsk Philological BulletinThe relevance of this study is due to the need for an in-depth study of the preverbs in the context of their multifunctionality, which includes word-forming, structural-semantic and grammatical aspects within the finno-ugric language family. Despite the considerable amount of research devoted to individual aspects of preverbiation, a holistic ...
Anna E Belkova
exaly +2 more sources
Sentence Comprehension and L2 Exposure Effects in 6-Year-Old Sequentially Bilingual Children With Typical Development and Developmental Language Disorder. [PDF]
Int J Lang Commun DisordABSTRACT Background Differentiating typical language development (TD) and developmental language disorder (DLD) in a bilingual context is difficult. The societal language is often the only mutual language of the child and the SLT. It has been shown that when assessing second language (L2) performance using tools developed for monolingual children ...
Smolander S +5 more
europepmc +2 more sources
N-овые отрицательные элементы пермских языков в контексте финно-угорских реконструкций [Permic Negative Elements with n in the Context of Finno-Ugric Reconstructions] [PDF]
Linguistica Uralica, 2021 Among the reliably etymologized markers of negation in a number of modern Finno-Ugric (and Samoyed) languages Å-(n)-elements are found that cannot be unambiguously interpreted.
Galina Fedyuneva
doaj +1 more source
The study of gesture in cognitive linguistics: How it could inform and inspire other research in cognitive science. [PDF]
Wiley Interdiscip Rev Cogn Sci, 2022 The study of gesture in cognitive linguistics raises new questions for research in the broader field of cognitive science. Image by lauwahyuen from Pixabay. Abstract Cognitive linguists are increasingly extending their paradigm to include the study of gestures.
Cienki A.
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Traditional Knowledge and Conservation Priorities of Eurasian Red Squirrel (<i>Sciurus vulgaris</i>) in Finland. [PDF]
Ecol EvolEurasian red squirrel (Sciurus vulgaris) has played an important role in Finnish traditional culture and livelihoods from pre‐historic times. Convergence of observations points to the case where the iconic mammal of the northern forests is in decline and migrating to the urban habitats, with a number of important consequences.
Mustonen T.
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’Ščast´je’ i ’udača’ v finno-ugorskih jazykah [Abstract. The Concepts ’luck’ and ’success’ in Finno-Ugric Languages]; pp. 265-275 [PDF]
Linguistica Uralica, 2012 The language material analysed enables the conclusion that in different Finno-Ugric languages the concepts âluckâ and âsuccessâ are expressed using various linguistic means, such as polysemous nouns, verb phrases, or idioms.
Jevgenij Cypanov
doaj +1 more source
Paragraph-Level Machine Translation for Low-Resource Finno-Ugric Languages. [PDF]
We develop paragraph-level machine translation for four low-resource Finno-Ugric languages: Proper Karelian, Livvi, Ludian, and Veps. The approach is based on sentence-level pre-trained translation models, which are fine-tuned with paragraph-parallel data.
Pashchenko, Dmytro +2 more
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