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Hits 1 – 11 of 11

1
MCSQ Translation Models (en-ru) (v1.0)
Variš, Dušan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022
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2
MCSQ Translation Models (en-de) (v1.0)
Variš, Dušan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022
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3
Retrieval-Based Transformer Pseudocode Generation
In: Mathematics; Volume 10; Issue 4; Pages: 604 (2022)
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4
CUBBITT Translation Models (en-cs) (v1.0)
Popel, Martin; Tomková, Markéta; Tomek, Jakub. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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5
Translation Models (en-ru) (v1.0)
Variš, Dušan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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6
CUBBITT Translation Models (en-pl) (v1.0)
Popel, Martin; Tomková, Markéta; Tomek, Jakub. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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7
Translation Models (en-de) (v1.0)
Variš, Dušan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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8
CUBBITT Translation Models (en-fr) (v1.0)
Popel, Martin; Tomková, Markéta; Tomek, Jakub. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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9
High-Performance English–Chinese Machine Translation Based on GPU-Enabled Deep Neural Networks with Domain Corpus
In: Applied Sciences ; Volume 11 ; Issue 22 (2021)
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10
Transformer-based NMT : modeling, training and implementation
Xu, Hongfei. - : Saarländische Universitäts- und Landesbibliothek, 2021
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11
The impact of some linguistic features on the quality of neural machine translation
In: Journal of Applied Linguistics and Lexicography, Vol 1, Iss 2 (2019) (2019)
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