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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Why doing Russian and Slavic linguistics matters [<Journal>] Eckhoff, Hanne [Verfasser]; Fortuin, Egbert [Verfasser]; Sonnenhauser, Barbara [Verfasser] DNB Subject Category Language Show details 2 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 5 Why doing Russian and Slavic linguistics matters ... Eckhoff, Hanne; Fortuin, Egbert; Sonnenhauser, Barbara. - : Springer, 2021 BASE Show details 6 OldSlavNet: A scalable Early Slavic dependency parser trained on modern language data ... Pedrazzini, Nilo; Eckhoff, Hanne Martine. - : Code Ocean, 2021 Abstract: OldSlavNet is a neural network dependency parser which can be used to syntactically tag pre-modern Slavic texts written in a wide range of linguistic varieties. The parser works in the Universal Dependency framework, one of the most widespread formats for syntactic annotation, which makes OldSlavNet outputs (.conllu) directly applicable in several downstream NLP tasks. ... Keyword: Artificial Neural Network; Capsule; Computer Science; Digital Historical Linguistics; Slavic; Treebanks URL: https://codeocean.com/capsule/8481687/tree/v1 https://dx.doi.org/10.24433/co.3462707.v1 BASE Hide details

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