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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...10 Hits 1 – 20 of 189 1 Neural MT and Human Post-editing : a Method to Improve Editorial Quality Barbin, Franck In: ISSN: 1134-8941 ; Interlingüística ; https://halshs.archives-ouvertes.fr/halshs-03603590 ; Interlingüística, Alacant [Spain] : Universitat Autònoma de Barcelona, 2022, pp.15-36 (2022) BASE Show details 2 Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues Yvon, François In: Techniques de l'Ingenieur ; https://hal.archives-ouvertes.fr/hal-03619077 ; Techniques de l'Ingenieur, Techniques de l'ingénieur, 2022, ⟨10.51257/a-v1-in195⟩ ; https://www.techniques-ingenieur.fr/base-documentaire/innovation-th10/innovations-en-electronique-et-tic-42257210/transformer-des-reseaux-de-neurones-pour-le-traitement-automatique-des-langues-in195/ (2022) BASE Show details 3 The use of MT by undergraduate translation students for different learning tasks Bindels, Joop; Pluymaekers, Mark In: https://hal.archives-ouvertes.fr/hal-03547415 ; 2022 (2022) BASE Show details 4 Machine Translation and Gender biases in video game localisation: a corpus-based analysis Rivas Ginel, María,; Theroine, Sarah In: https://hal.archives-ouvertes.fr/hal-03540605 ; 2022 (2022) BASE Show details 5 Neural machine translation and language teaching : possible implications for the CEFR ... Delorme Benites, Alice; Lehr, Caroline. - : Vereinigung für Angewandte Linguistik in der Schweiz, 2022 BASE Show details 6 MCSQ Translation Models (en-ru) (v1.0) Variš, Dušan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 7 MCSQ Translation Models (en-de) (v1.0) Variš, Dušan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 8 Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Giovanna Maria Dora; Bhattacharya, Rohit. - : Underline Science Inc., 2022 BASE Show details 9 Language of AI ... Bylieva, Daria. - : Technology and Language, 3(1), 111-126, 2022 BASE Show details 10 An Initial Investigation of Neural Decompilation for WebAssembly ; En Första Undersökning av Neural Dekompilering för WebAssembly Benali, Adam. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2022 BASE Show details 11 Lexical Diversity in Statistical and Neural Machine Translation Mojca Brglez; Špela Vintar In: Information; Volume 13; Issue 2; Pages: 93 (2022) BASE Show details 12 A Survey of Automatic Source Code Summarization Chunyan Zhang; Junchao Wang; Qinglei Zhou; Ting Xu; Ke Tang; Hairen Gui; Fudong Liu In: Symmetry; Volume 14; Issue 3; Pages: 471 (2022) Abstract: Source code summarization refers to the natural language description of the source code’s function. It can help developers easily understand the semantics of the source code. We can think of the source code and the corresponding summarization as being symmetric. However, the existing source code summarization is mismatched with the source code, missing, or out of date. Manual source code summarization is inefficient and requires a lot of human efforts. To overcome such situations, many studies have been conducted on Automatic Source Code Summarization (ASCS). Given a set of source code, the ASCS techniques can automatically generate a summary described with natural language. In this paper, we give a review of the development of ASCS technology. Almost all ASCS technology involves the following stages: source code modeling, code summarization generation, and quality evaluation. We further categorize the existing ASCS techniques based on the above stages and analyze their advantages and shortcomings. We also draw a clear map on the development of the existing algorithms. Keyword: deep learning; neural machine translation; program analysis; source code summarization URL: https://doi.org/10.3390/sym14030471 BASE Hide details 13 Neural Models for Measuring Confidence on Interactive Machine Translation Systems Ángel Navarro; Francisco Casacuberta In: Applied Sciences; Volume 12; Issue 3; Pages: 1100 (2022) BASE Show details 14 Impact of Sentence Representation Matching in Neural Machine Translation Heeseung Jung; Kangil Kim; Jong-Hun Shin; Seung-Hoon Na; Sangkeun Jung; Sangmin Woo In: Applied Sciences; Volume 12; Issue 3; Pages: 1313 (2022) BASE Show details 15 Retrieval-Based Transformer Pseudocode Generation Anas Alokla; Walaa Gad; Waleed Nazih; Mustafa Aref; Abdel-Badeeh Salem In: Mathematics; Volume 10; Issue 4; Pages: 604 (2022) BASE Show details 16 Evaluating the Impact of Integrating Similar Translations into Neural Machine Translation Arda Tezcan; Bram Bulté In: Information; Volume 13; Issue 1; Pages: 19 (2022) BASE Show details 17 Some Contributions to Interactive Machine Translation and to the Applications of Machine Translation for Historical Documents Domingo Ballester, Miguel. - : Universitat Politècnica de València, 2022 BASE Show details 18 Neural-based Knowledge Transfer in Natural Language Processing Wang, Chao. - 2022 BASE Show details 19 Investigating alignment interpretability for low-resource NMT Zanon Boito, Marcely; Villavicencio, Aline; Besacier, Laurent In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-03139744 ; Machine Translation, Springer Verlag, 2021, ⟨10.1007/s10590-020-09254-w⟩ (2021) BASE Show details 20 Gender Bias in Neural Translation: a preliminary study ; Biais de genre dans un système de traduction automatique neuronale : une étude préliminaire Wisniewski, Guillaume; Zhu, Lichao; Ballier, Nicolas... In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265895 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.11-25 ; https://talnrecital2021.inria.fr/ (2021) BASE Show details Page: 1 2 3 4 5...10

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