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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 · automatic translation systems proliferate, the distinctiveness of languages and cultural quirks . could be diminished. ... and images is another important research dir ection. This method

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4. www.researchgate.net › publication › 380425813(PDF) Automating Translation of Scientific Literature for ...

   www.researchgate.net › publication › 380425813

   May 8, 2024 · one-click translation of scientific documents from other languages in to English, addressing a critical need in the scientific communit y. The pipeline comprises. four stages: PDF-to-image ...

5. 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).

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

   www.researchgate.net › publication › 334545441

   Jul 1, 2019 · This chapter explores the importance of language context in the future of the television and video industry. With a growing global audience and increasing demand for content in multiple languages ...

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

   www.sciencedirect.com › science › article

   Mar 30, 2024 · O'Hagan [15] highlighted that ordinary Internet users may require translation, as may public groups and corporations working with global populations in a technical environment: as a result, free online translation tools based on automatic translation (officially “machine translation" or MT), such as Google Translate and Microsoft Bing Translator, have rapidly gained popularity. These tools ...

8. People also ask

   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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   What is Google Translate & how does it work?

   • Google Translate is one of the most well-known and widely used machine translation platforms. It supports translation between a large number of languages and offers various features such as text translation, Website translation, document translation, and real-time speech translation.

   Overview and Challenges of Machine Translation for Contextually

   www.sciencedirect.com/science/article/pii/S2589004224021035

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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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   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 does technology affect language translation?

   • Therefore, as technology develops, fostering a more unified and efficient approach to language translation (V ela-V alido, 2021). It dynamic synergy, will become more and more common. Furthe rmore, as advancements in by improving their proficiency in low- source languages and dialects. T his not only ensures a of minority languages.

   (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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9. www.sciencedirect.com › science › articleOverview and challenges of machine translation for ...

   www.sciencedirect.com › science › article

   Oct 18, 2024 · Ranathunga et al. (2023) conducted a comprehensive survey on neural machine translation for low-resource languages, highlighting the challenges and potential solutions for improving translation quality in under-resourced languages. 1 Dabre et al. (2020) reviewed multilingual neural machine translation techniques, providing insights into developing models capable of handling multiple languages ...