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1. ieeexplore.ieee.org › document › 10438431The Impact of Artificial Intelligence on Language Translation ...

   ieeexplore.ieee.org › document › 10438431

   In the context of a more linked and globalized society, the significance of proficient cross-cultural communication has been increasing to a position of utmost importance. Language functions as a crucial medium that establishes connections among people, corporations, and countries, demanding the implementation of precise and effective translation systems. This comprehensive review paper aims ...

2. www.researchgate.net › publication › 380574068Implications of Using AI in Translation Studies: Trends ...

   www.researchgate.net › publication › 380574068

   Apr 30, 2024 · This review paper provides an overview of the use of artificial intelligence (AI) in Translation Studies (TS), covering statistical machine translation, rule-based machine translation, neural ...

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4. www.researchgate.net › publication › 378284156_TheThe Impact of Artificial Intelligence on Language Translation ...

   www.researchgate.net › publication › 378284156_The

   Feb 23, 2024 · literature, identifying key debates, and uncovering areas of innov ation and limitations. The primary objective. is to provide a nuanced understanding of the current state of AI-driven language ...

5. www.sciencedirect.com › science › articleArtificial intelligence and human translation: A contrastive ...

   www.sciencedirect.com › science › article

   Mar 30, 2024 · After publishing a research paper about Artificial Intelligence and human translation, the authors may seek potential funding from the University of Bisha for grants for further research. Having a published paper can help demonstrate the authors’ expertise and the value of their work, making it more likely that they will be successful in securing funding.

6. www.researchgate.net › publication › 334545441(PDF) Automated Language Translation: Opportunities and ...

   www.researchgate.net › publication › 334545441

   Jul 1, 2019 · This paper presents the leading roles of automated translation in propagating important social ideas between two or more languages and examines the difficulties and opportunities that translation ...

7. academic.oup.com › bioscience › articleOvercoming Language Barriers in Academia: Machine Translation ...

   academic.oup.com › bioscience › article

   • Cached

   Aug 3, 2022 · When, why, and how scientific literature can be translated. With the aid of translation tools, contributing translations of abstracts, keywords, and entire articles could become the norm for research programs that cross languages (figure 1; Amano et al. 2021b).

8. People also ask

   Can artificial intelligence be used in Translation Studies?

   • This review paper provides an overview of the use of artificial intelligence (AI) in Translation Studies (TS), covering statistical machine translation, rule-based machine translation, neural machine translation, and hybrid machine translation. It explores the advantages and limitations of each model, as well as their applications in translation.

   (PDF) Implications of Using AI in Translation Studies: Trends

   www.researchgate.net/publication/380574068_Implications_of_Using_AI_in_Translation_Studies_Trends_Challenges_and_Future_Direction

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   How can machine translation help scientists publish in multiple languages?

   • Multilingual publishing is another mechanism that actively promotes and places value on contributions in different languages. Machine translation tools can help scientists take concrete steps toward publishing in multiple languages, including in English.

   Overcoming Language Barriers in Academia: Machine Translation Tools …

   academic.oup.com/bioscience/article/72/10/988/6653151

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   Why is language translation important?

   • The language translation plays an essential role in crossing through different cultures and communication channels. This paper presents the leading roles of automated translation in propagating important social ideas between two or more languages and examines the difficulties and opportunities that translation techniques face in the process.

   (PDF) Automated Language Translation: Opportunities and Impact on the

   www.researchgate.net/publication/334545441_Automated_Language_Translation_Opportunities_and_Impact_on_the_Society

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   How does machine translation affect language learning?

   • (c) As machine translation technologies improve, greater exchange across language families will indirectly benefit the speakers of languages with smaller numbers of active speakers (inset), who, owing to geography or history, often must learn a second language from one of these major families.

   Overcoming Language Barriers in Academia: Machine Translation Tools …

   academic.oup.com/bioscience/article/72/10/988/6653151

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   How do machine translation tools work?

   • Today, the majority of machine translation tools use artificial neural networks in combination with artificial intelligence–based techniques such as machine learning (Forcada 2017).

   Overcoming Language Barriers in Academia: Machine Translation Tools …

   academic.oup.com/bioscience/article/72/10/988/6653151

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   Why is machine language translation important?

   • Machine language translation techniques have improved productivity and quality in translation, online communication, online business and trade. It also demonstrates the integral need for innovative technological solutions to the age-old difficulties of the digital divide due to the language barriers.

   (PDF) Automated Language Translation: Opportunities and Impact on the

   www.researchgate.net/publication/334545441_Automated_Language_Translation_Opportunities_and_Impact_on_the_Society

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9. www.sciencedirect.com › science › articleProgress in Machine Translation - ScienceDirect

   www.sciencedirect.com › science › article

   Nov 1, 2022 · In this article, we first review the history of machine translation from rule-based machine translation to example-based machine translation and statistical machine translation. We then introduce NMT in more detail, including the basic framework and the current dominant framework, Transformer, as well as multilingual translation models to deal with the data sparseness problem.