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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...213 Hits 1 – 20 of 4.248 1 Source or target first? Comparison of two post-editing strategies with translation students Volkart, Lise; Girletti, Sabrina; Gerlach, Johanna... In: https://hal.archives-ouvertes.fr/hal-03546151 ; 2022 (2022) BASE Show details 2 Automatic Normalisation of Early Modern French Bawden, Rachel; Poinhos, Jonathan; Kogkitsidou, Eleni... In: https://hal.inria.fr/hal-03540226 ; 2022 (2022) BASE Show details 3 Offline Corpus Augmentation for English-Amharic Machine Translation Biadgligne, Yohannes; Smaïli, Kamel In: 2022 The 5th International Conference on Information and Computer Technologies ; https://hal.archives-ouvertes.fr/hal-03547539 ; 2022 The 5th International Conference on Information and Computer Technologies, Mar 2022, New York, United States (2022) Abstract: International audience ; The purpose of this study was to investigate the effect of corpus augmentation on the quality of English-Amharic Machine Translation (MT). In fact, trigram and four-gram Statistical Machine Translation (SMT) language models, as well as Neural Machine Translation (NMT) models based on Gated Recurrent Units (GRU) were used. They were trained independently using both the original and augmented corpus to see how the augmentation of the corpus affects the translation quality of these models. These two corpora (original and augmented) contain 225,304 and 463,796 English-Amharic parallel sentences respectively. To complete the corpus augmentation challenge, an offline token level tokenization technique was used. This technique (corpus augmentation) was used before any other MT processes were started. Among several token-level tokenization mechanisms, random insertion, replacement, deletion, and swapping approaches were chosen and implemented. After both models had been trained, the Bilingual Evaluation Understudy (BLEU) ratings were collected and analyzed. Our results demonstrate that the models trained with the augmented corpus outperform their corresponding models (models trained with the original corpus) in terms of BLEU scores. As a result, we can conclude that corpus augmentation did indeed help in the improvement of the performance of both SMT and NMT translation systems. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Amharic language; Corpus Augmentation; GRU; Machine Translation; NMT; SMT; Token level augmentation URL: https://hal.archives-ouvertes.fr/hal-03547539 https://hal.archives-ouvertes.fr/hal-03547539/file/ICICT2022Augmented_corpusFinal%20Draft.pdf https://hal.archives-ouvertes.fr/hal-03547539/document BASE Hide details 4 DeepL et Google Translate face à l'ambiguïté phraséologique Bacquelaine, Françoise In: https://hal.archives-ouvertes.fr/hal-03583995 ; 2022 (2022) BASE Show details 5 From Disrupted Classrooms to Human-Machine Collaboration? The Pocket Calculator, Google Translate, and the Future of Language Education Urlaub, Per; Dessein, Eva In: L2 Journal, vol 14, iss 1 (2022) BASE Show details 6 Thirty Years of Machine Translation in Language Teaching and Learning: A Review of the Literature Jolley, Jason R; Maimone, Luciane In: L2 Journal, vol 14, iss 1 (2022) BASE Show details 7 A “Hands-On” Approach to Raise Awareness of Technologies: A Pilot Class and its Lessons Tourmen, Claire; Hoffmann, Daniel In: L2 Journal, vol 14, iss 1 (2022) BASE Show details 8 Do You Speak Translate?: Reflections on the Nature and Role of Translation Vinall, Kimberly; Hellmich, Emily In: L2 Journal, vol 14, iss 1 (2022) BASE Show details 9 Exploring Foreign Language Students’ Perceptions of the Guided Use of Machine Translation (GUMT) Model for Korean Writing Ryu, Jieun; Kim, Young Ae; Park, Seojin... In: L2 Journal, vol 14, iss 1 (2022) BASE Show details 10 Machine Translation: Friend or Foe in the Language Classroom? Klekovkina, Vera; Denié-Higney, Laurence In: L2 Journal, vol 14, iss 1 (2022) BASE Show details 11 Proficiency and the Use of Machine Translation: A Case Study of Four Japanese Learners Xu, Jun In: L2 Journal, vol 14, iss 1 (2022) BASE Show details 12 What’s Wrong with “What is your name?” > “Quel est votre nom?”:Teaching Responsible Use of MT through Discursive Competence and Metalanguage Awareness Pellet, Stephanie; Myers, Lindsy In: L2 Journal, vol 14, iss 1 (2022) BASE Show details 13 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 14 The use of online translators by students not enrolled in a professional translation program: beyond copying and pasting for a professional use Loock, Rudy; Léchauguette, Sophie; Holt, Benjamin In: EAMT2022 (European Association for Machine Translation) ; https://hal.archives-ouvertes.fr/hal-03656029 ; EAMT2022 (European Association for Machine Translation), Jun 2022, Ghent, Belgium ; https://eamt2022.com/ (2022) BASE Show details 15 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 16 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 17 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 18 АКТУАЛЬНЫЕ ТЕНДЕНЦИИ ЦИФРОВИЗАЦИИ ИНОЯЗЫЧНОГО ОБУЧЕНИЯ В НЕЯЗЫКОВОМ ВУЗЕ ... : CURRENT TRENDS IN DIGITALIZATION OF FOREIGN LANGUAGE EDUCATION IN A NON-LINGUISTIC UNIVERSITY ... Е.Б. Манахова. - : Мир науки, культуры, образования, 2022 BASE Show details 19 Maschinelle Übersetzung (MT) für den Notfall : Ratgeber zum Einsatz von MT Tools für die Kommunikation mit Flüchtlingen aus der Ukraine ... Delorme Benites, Alice. - : ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2022 BASE Show details 20 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 Page: 1 2 3 4 5...213

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