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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 – 12 of 12 1 Universal Segmentations 1.0 (UniSegments 1.0) Žabokrtský, Zdeněk; Bafna, Nyati; Bodnár, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 2 DeriNet 2.1 Vidra, Jonáš; Žabokrtský, Zdeněk; Kyjánek, Lukáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021 BASE Show details 3 Universal Derivations v1.1 Kyjánek, Lukáš; Žabokrtský, Zdeněk; Vidra, Jonáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021 BASE Show details 4 Universal Derivations v1.0 Kyjánek, Lukáš; Žabokrtský, Zdeněk; Vidra, Jonáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020 BASE Show details 5 DeriNet 2.0 Vidra, Jonáš; Žabokrtský, Zdeněk; Kyjánek, Lukáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2019 BASE Show details 6 Universal Derivations v0.5 Kyjánek, Lukáš; Žabokrtský, Zdeněk; Vidra, Jonáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2019 BASE Show details 7 Derivational Morphological Relations in Word Embeddings ... Musil, Tomáš; Vidra, Jonáš; Mareček, David. - : arXiv, 2019 BASE Show details 8 DeriNet 1.6 (2018-09-24) Vidra, Jonáš; Kyjánek, Lukáš; Ševčíková, Magda. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018 BASE Show details 9 Morphological and Language-Agnostic Word Segmentation for NMT ... Macháček, Dominik; Vidra, Jonáš; Bojar, Ondřej. - : arXiv, 2018 Abstract: The state of the art of handling rich morphology in neural machine translation (NMT) is to break word forms into subword units, so that the overall vocabulary size of these units fits the practical limits given by the NMT model and GPU memory capacity. In this paper, we compare two common but linguistically uninformed methods of subword construction (BPE and STE, the method implemented in Tensor2Tensor toolkit) and two linguistically-motivated methods: Morfessor and one novel method, based on a derivational dictionary. Our experiments with German-to-Czech translation, both morphologically rich, document that so far, the non-motivated methods perform better. Furthermore, we iden- tify a critical difference between BPE and STE and show a simple pre- processing step for BPE that considerably increases translation quality as evaluated by automatic measures. ... : In print. To appear in TSD 2018 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1806.05482 https://arxiv.org/abs/1806.05482 BASE Hide details 10 DeriNet 1.5 Vidra, Jonáš; Žabokrtský, Zdeněk; Ševčíková, Magda. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017 BASE Show details 11 DeriNet 1.2 Vidra, Jonáš; Žabokrtský, Zdeněk; Ševčíková, Magda. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2016 BASE Show details 12 DeriNet 1.0 Vidra, Jonáš; Žabokrtský, Zdeněk; Ševčíková, Magda. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2015 BASE Show details

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