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Linguistic Mathematical Relationships Saved or Lost in Translating Texts: Extension of the Statistical Theory of Translation and Its Application to the New Testament
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In: Information; Volume 13; Issue 1; Pages: 20 (2022)
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| 42 |
Sign Language Avatars: A Question of Representation
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In: Information; Volume 13; Issue 4; Pages: 206 (2022)
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| 43 |
Identifying Source-Language Dialects in Translation
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In: Mathematics; Volume 10; Issue 9; Pages: 1431 (2022)
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| 44 |
Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation
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In: Information; Volume 13; Issue 5; Pages: 220 (2022)
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| 45 |
X-Transformer: A Machine Translation Model Enhanced by the Self-Attention Mechanism
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4502 (2022)
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| 46 |
Retrieval-Based Transformer Pseudocode Generation
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In: Mathematics; Volume 10; Issue 4; Pages: 604 (2022)
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| 47 |
Evaluating the Impact of Integrating Similar Translations into Neural Machine Translation
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In: Information; Volume 13; Issue 1; Pages: 19 (2022)
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| 48 |
Hebrew Transformed: Machine Translation of Hebrew Using the Transformer Architecture
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| 49 |
Technology in audiovisual translation practices and training ; Las tecnologías en la formación y las prácticas de traducción audiovisual
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In: CLINA Revista Interdisciplinaria de Traducción Interpretación y Comunicación Intercultural; Vol. 7 Núm. 1 (2021); 17-24 ; CLINA Revista Interdisciplinaria de Traducción Interpretación y Comunicación Intercultural; Vol. 7 No. 1 (2021); 17-24 ; 2444-1961 ; 10.14201/clina202171 (2022)
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| 50 |
Training in machine translation post-editing for foreign language students
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Zhang, Hong; Torres-Hostench, Olga. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2022
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| 51 |
Pushing the right buttons: adversarial evaluation of quality estimation
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In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
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| 52 |
Some Contributions to Interactive Machine Translation and to the Applications of Machine Translation for Historical Documents
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| 53 |
Neural-based Knowledge Transfer in Natural Language Processing
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| 54 |
Machine Translation of polysemic words: current technology in light of Cognitive Linguistics ; Tradução automática de palavras polissêmicas: tecnologias atuais à luz da Linguística Cognitiva
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In: Entrepalavras; v. 11, n. 3 (11): Linguagem e Tecnologia; 52-74 (2022)
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Abstract:
In view of the constant improvement of machine translation technologies today and their use by students and additional language learners, this paper aims to investigate how free online Machine Translators (MTs) work with polysemic words undoing the ambiguity of meanings in the light of the theoretical approach of Cognitive Linguistics (CL). The study of the MTs functioning shows that these digital technologies have become increasingly sophisticated due to corpus-based systems and, more recently, the neural system. However, the MT systems still have limitations related to linguistic issues, among them, ambiguity, which can be described as one of the biggest challenges for MT nowadays. In this qualitative study, we analyzed comparatively the results of Portuguese-English automatic translations of polysemic words inserted in sentences with different contexts of use, comparing four free MTs available on the internet: (1) Google Translate, (2) Reverso, (3) Collis and (4) Wordlingo. The results indicate the importance of specifying the context for word disambiguation in machine translation. ; Tendo em vista o aprimoramento constante das tecnologias de tradução automática na atualidade e seu uso por parte de estudantes e aprendizes de línguas adicionais, neste artigo temos por objetivo averiguar como os Tradutores Automáticos (TAs) disponíveis de forma gratuita na internet traduzem palavras polissêmicas desfazendo a ambiguidade de sentidos à luz da abordagem teórica da Linguística Cognitiva (LC). O estudo do funcionamento dos TAs mostra que essas tecnologias digitais estão se tornando mais sofisticadas devido aos sistemas baseados em corpus e, mais recentemente, ao sistema neural. Entretanto, tais sistemas ainda apresentam limitações relacionadas às questões linguísticas, dentre elas, a ambiguidade, que pode ser descrita como um dos maiores desafios para um TA hoje. Neste estudo, de caráter qualitativo, analisamos de forma comparativa os resultados de traduções automáticas Português-Inglês de palavras polissêmicas inseridas em frases com diferentes contextos de uso, comparando quatro TAs gratuitos disponíveis na internet: (1) Google Translate, (2) Reverso, (3) Collis e (4) Wordlingo. Os resultados da investigação indicam a importância da especificação do contexto para a desambiguação das palavras na tradução automática.
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Keyword:
Machine translation. Polysemy. Cognitive Linguistics. Lexical semantics. Homonymy; Tradução automática. Polissemia. Linguística Cognitiva. Semântica lexical. Homonímia
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URL: https://doi.org/10.22168/2237-6321-32173
http://www.entrepalavras.ufc.br/revista/index.php/Revista/article/view/2173
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| 55 |
The role of machine translation in translation education: A thematic analysis of translator educators’ beliefs
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In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 14, Iss 1, Pp 177-197 (2022) (2022)
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| 56 |
Predicting and Critiquing Machine Virtuosity: Mawwal Accompaniment as Case Study
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In: International Computer Music Conference ; https://hal.archives-ouvertes.fr/hal-03044066 ; International Computer Music Conference, Jul 2021, Santiago, Chile (2021)
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| 57 |
Investigating alignment interpretability for low-resource NMT
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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)
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| 58 |
Parallel Corpora Preparation for English-Amharic Machine Translation
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In: IWANN 2021 - International Work on Artificial Neural Networks, Conference Springer LNCS proceedings ; https://hal.inria.fr/hal-03272258 ; IWANN 2021 - International Work on Artificial Neural Networks, Conference Springer LNCS proceedings, Jun 2021, Online, Spain (2021)
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| 59 |
DESIGNING TO SUPPORT SENSEMAKING IN CROSS-LINGUAL COMPUTER-MEDIATED COMMUNICATION USING NLP TECHNIQUES
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| 60 |
DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues
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In: Castilho, Sheila orcid:0000-0002-8416-6555 , Cavalheiro Camargo, João Lucas orcid:0000-0003-3746-1225 , Menezes, Miguel and Way, Andy orcid:0000-0001-5736-5930 (2021) DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues. In: Sixth Conference on Machine Translation (WMT21), 10-11 Nov 2021, Punta Cana, Dominican Republic (Online). ISBN 978-1-954085-94-7 (2021)
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