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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 – 10 of 10 1 Part of speech and gramset tagging algorithms for unknown words based on morphological dictionaries of the Veps and Karelian languages ... Krizhanovsky, Andrew; Krizhanovsky, Natalia; Novak, Irina. - : arXiv, 2021 BASE Show details 2 SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ... Vylomova, Ekaterina; White, Jennifer; Salesky, Elizabeth. - : arXiv, 2020 BASE Show details 3 UniMorph 3.0: Universal Morphology Kirov, Christo; Nicolai, Garrett; Arkhangelskij, Timofey... In: Proceedings of the 12th Language Resources and Evaluation Conference (2020) BASE Show details 4 UniMorph 3.0: Universal Morphology ... McCarthy, Arya D.; Kirov, Christo; Grella, Matteo. - : ETH Zurich, 2020 BASE Show details 5 WCorpus mysql database with texts of 3 writers ... Krizhanovsky, Andrew; Kirillov, Aleksandr; Krizhanovskaya, Natalia. - : figshare, 2018 BASE Show details 6 WCorpus mysql database with texts of 3 writers ... Krizhanovsky, Andrew; Kirillov, Aleksandr; Krizhanovskaya, Natalia. - : figshare, 2018 BASE Show details 7 Calculated attributes of synonym sets ... Krizhanovsky, Andrew; Kirillov, Alexander. - : arXiv, 2018 Abstract: The goal of formalization, proposed in this paper, is to bring together, as near as possible, the theoretic linguistic problem of synonym conception and the computer linguistic methods based generally on empirical intuitive unjustified factors. Using the word vector representation we have proposed the geometric approach to mathematical modeling of synonym set (synset). The word embedding is based on the neural networks (Skip-gram, CBOW), developed and realized as word2vec program by T. Mikolov. The standard cosine similarity is used as the distance between word-vectors. Several geometric characteristics of the synset words are introduced: the interior of synset, the synset word rank and centrality. These notions are intended to select the most significant synset words, i.e. the words which senses are the nearest to the sense of a synset. Some experiments with proposed notions, based on RusVectores resources, are represented. A brief description of this work can be viewed in slides https://goo.gl/K82Fei ... : 6 pages, 2 tables, 2 figures, preprint ... Keyword: 68T50; Computation and Language cs.CL; FOS Computer and information sciences; I.5.3; H.3.1; H.3.3; Information Retrieval cs.IR URL: https://arxiv.org/abs/1803.01580 https://dx.doi.org/10.48550/arxiv.1803.01580 BASE Hide details 8 Russian Wiktionary thesaurus in Gephi format (20160210) with screenshots ... Krizhanovsky, Andrew. - : figshare, 2017 BASE Show details 9 Russian Wiktionary thesaurus in Gephi format (20160210) with screenshots ... Krizhanovsky, Andrew. - : figshare, 2017 BASE Show details 10 Multilingual ontology matching based on Wiktionary data accessible via SPARQL endpoint ... Lin, Feiyu; Krizhanovsky, Andrew. - : arXiv, 2011 BASE Show details

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