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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 Page: 1 2 3 4 5 6 7 8 9...213 Hits 81 – 100 of 4.248 81 Kittajafr-v2baseline-2.0.1 Blin, Raoul In: https://hal.archives-ouvertes.fr/hal-03503325 ; 2021 (2021) BASE Show details 82 Revisiting Multi-Domain Machine Translation Pham, Minh Quang; Crego, Josep-Maria; Yvon, François In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03159744 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021, 9, pp.17-35. ⟨10.1162/tacl_a_00351⟩ (2021) BASE Show details 83 Revisiting Multi-Domain Machine Translation Pham, Minh Quang; Crego, Josep-Maria; Yvon, François In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03159743 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021, 9, pp.17-35 (2021) BASE Show details 84 Kittajafr-v1-1.0.0 Blin, Raoul In: https://hal.archives-ouvertes.fr/hal-03172321 ; 2021 (2021) Abstract: Guide ; This guide presents the kit kittajafr-v1, a set of resources and tools to build a small neural translation model from Japanese to French. It explains how to prepare a training corpus, how to set up the learning and translation software. All the resources of the kittajafr are freely distributed. Software not included in the kit is necessary but also freely available. The corpus is small: ≈70K aligned examples. The quality of the translations is low. ; Ce guide présente le kit kittajafr-v1. Il s’agit d’un ensemble de ressources et d’outils permettant de construire un petit modèle de traduction neuronal du japonais vers le français. Ce guide dresse un rapide état des lieux de la traduction ja > fr. Il explique comment préparer un corpus d’entraînement, paramétrer le logiciel d’apprentissage et de traduction. Toutes les ressources du kittajafr sont librement distribuées. Des logiciels non fournis dans le kit sont nécessaires mais eux aussi librement disponibles. Le corpus est de petite taille : ≈70K exemples alignés. La qualité des traductions est basse. Keyword: [SHS.LANGUE]Humanities and Social Sciences/Linguistics; français; French; Japanese; japonais; neuronal machine translation; traduction automatique neuronale URL: https://hal.archives-ouvertes.fr/hal-03172321/document https://hal.archives-ouvertes.fr/hal-03172321 https://hal.archives-ouvertes.fr/hal-03172321/file/tutorieltajafr-v1.pdf BASE Hide details 85 On Homophony and Rényi Entropy ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cotterell, Ryan; Meister, Clara. - : Underline Science Inc., 2021 BASE Show details 86 Maschinelle Übersetzung für akademische Texte ... Delorme Benites, Alice. - : ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2021 BASE Show details 87 Machine translation literacy : a panorama of practices at Swiss universities and implications for language teaching ... Delorme Benites, Alice; Cotelli Kureth, Sara; Lehr, Caroline. - : Research-publishing.net, 2021 BASE Show details 88 Re-framing conceptual metaphor translation research in the age of neural machine translation : investigating translators’ added value with products and processes ... Massey, Gary. - : Peoples' Friendship University of Russia, 2021 BASE Show details 89 The EUTRANS-I corpus ... Amengual, Juan Carlos; Castaño, Asunción; Castellanos, Antonio. - : Zenodo, 2021 BASE Show details 90 ENGLISH-AKUAPEM TWI PARALLEL CORPUS ... Azunre, Paul; Adu-Gyamfi, Lawrence; Appiah, Esther. - : Zenodo, 2021 BASE Show details 91 ENGLISH-AKUAPEM TWI PARALLEL CORPUS ... Azunre, Paul; Adu-Gyamfi, Lawrence; Appiah, Esther. - : Zenodo, 2021 BASE Show details 92 ENGLISH-AKUAPEM TWI PARALLEL CORPUS ... Azunre, Paul; Adu-Gyamfi, Lawrence; Appiah, Esther. - : Zenodo, 2021 BASE Show details 93 Automatic Verification Tool - SSHOC Service Catalogue's Factsheets Series ... Pettinicchi, Yuri. - : Zenodo, 2021 BASE Show details 94 Automatic Verification Tool - SSHOC Service Catalogue's Factsheets Series ... Pettinicchi, Yuri. - : Zenodo, 2021 BASE Show details 95 The EUTRANS-I corpus ... Amengual, Juan Carlos; Castaño, Asunción; Castellanos, Antonio. - : Zenodo, 2021 BASE Show details 96 Malayalam Visual Genome 1.0 Parida, Shantipriya; Bojar, Ondřej. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021 BASE Show details 97 WMT21 Marian translation model (ca-oc) Jon, Josef. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021 BASE Show details 98 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 BASE Show details 99 Translation Models (en-ru) (v1.0) Variš, Dušan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021 BASE Show details 100 FAUST cs-en 0.5 Hajič, Jan; Mareček, David; Fučíková, Eva. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021 BASE Show details Page: 1 2 3 4 5 6 7 8 9...213

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