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Source or target first? Comparison of two post-editing strategies with translation students
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In: https://hal.archives-ouvertes.fr/hal-03546151 ; 2022 (2022)
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Trans-Translation Is an Appealing Target for the Development of New Antimicrobial Compounds
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In: EISSN: 2076-2607 ; Microorganisms ; https://hal.archives-ouvertes.fr/hal-03575603 ; Microorganisms, 2022, 10 (1), ⟨10.3390/microorganisms10010003⟩ (2022)
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Automatic Normalisation of Early Modern French
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In: https://hal.inria.fr/hal-03540226 ; 2022 (2022)
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Offline Corpus Augmentation for English-Amharic Machine Translation
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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)
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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.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Amharic language; Corpus Augmentation; GRU; Machine Translation; NMT; SMT; Token level augmentation
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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
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5 |
Non-sexist Language in Vacancy Titles: A Proposal for Drafting and Translation in International Organisations
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In: Journal of International Women's Studies (2022)
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Combating the Misrepresentation of Women in Quran Translations: Translational Interventions
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In: Journal of International Women's Studies (2022)
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Towards an empirical evaluation of translated texts and translation quality ; Vers une évaluation empirique des textes traduits et de la qualité en traduction
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In: https://hal.archives-ouvertes.fr/hal-03584752 ; 2022 (2022)
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DeepL et Google Translate face à l'ambiguïté phraséologique
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In: https://hal.archives-ouvertes.fr/hal-03583995 ; 2022 (2022)
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9 |
Language Teaching in Higher Education within a Plurilingual Perspective
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In: L2 Journal, vol 14, iss 2 (2022)
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10 |
The Future of Translation in Higher Education: Introduction to the Special Issue
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In: L2 Journal, vol 14, iss 2 (2022)
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Tandem and Translation: A bilingual telecollaboration course in social science translation
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In: L2 Journal, vol 14, iss 2 (2022)
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From Disrupted Classrooms to Human-Machine Collaboration? The Pocket Calculator, Google Translate, and the Future of Language Education
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In: L2 Journal, vol 14, iss 1 (2022)
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Thirty Years of Machine Translation in Language Teaching and Learning: A Review of the Literature
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In: L2 Journal, vol 14, iss 1 (2022)
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A “Hands-On” Approach to Raise Awareness of Technologies: A Pilot Class and its Lessons
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In: L2 Journal, vol 14, iss 1 (2022)
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Do You Speak Translate?: Reflections on the Nature and Role of Translation
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In: L2 Journal, vol 14, iss 1 (2022)
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Current Practices in Translation and L2 Learning in Higher Education: Lessons Learned
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In: L2 Journal, vol 14, iss 2 (2022)
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Exploring Foreign Language Students’ Perceptions of the Guided Use of Machine Translation (GUMT) Model for Korean Writing
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In: L2 Journal, vol 14, iss 1 (2022)
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Machine Translation: Friend or Foe in the Language Classroom?
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In: L2 Journal, vol 14, iss 1 (2022)
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Proficiency and the Use of Machine Translation: A Case Study of Four Japanese Learners
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In: L2 Journal, vol 14, iss 1 (2022)
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20 |
Translation Pedagogy in the Comparative Literature Classroom: Close Reading and the Hermeneutic Model of Translation
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In: L2 Journal, vol 14, iss 2 (2022)
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