Authors :
Raees Azam; Ghulam Murtaza
Volume/Issue :
Volume 10 - 2025, Issue 1 - January
Google Scholar :
https://tinyurl.com/25ryep99
Scribd :
https://tinyurl.com/4yz745y9
DOI :
https://doi.org/10.5281/zenodo.14831448
Abstract :
In order to address issues like ethical dilemmas, cultural bias, and complex text interpretation, this study intends to
investigate the revolutionary effects of artificial intelligence on English language translation, emphasizing its improvements in
accuracy, accessibility, and real-time capabilities. The translation of English has been transformed by artificial intelligence
(AI), which has improved accessibility, accuracy, and speed. AI-powered solutions like Google Translate and Deeply have
greatly enhanced the quality of translations through sophisticated neural machine translation algorithms, allowing for a more
nuanced comprehension of context, idioms, and cultural nuances. Additionally, AI enables real-time translation, promoting
inclusion and removing linguistic barriers in international communication. Nonetheless, there are still issues, like as sporadic
errors, trouble comprehending extremely complex or imaginative texts, and moral dilemmas like cultural bias and data
privacy. Notwithstanding these drawbacks, linguists' and companies' workflows have been expedited by the use of AI in
translation, opening the door for increased cross-cultural cooperation and establishing new benchmarks for language services.
The results demonstrate how AI may significantly increase the accessibility and accuracy of English translations. AI
promotes effective, real-time communication and improves cross-cultural understanding worldwide, despite obstacles like
cultural prejudice and complicated text management. By addressing issues of cultural bias and data privacy, policymakers can
promote the creation of moral AI translation systems. Encouraging openness, inclusive algorithms, and interdisciplinary
cooperation will guarantee fair access to AI-powered language services, promoting intercultural dialogue and understanding.
Keywords :
AI-Powered Language; Complicated Text; Cross-Cultural Cooperation; Cultural Bias; Revolutionary Effects.
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In order to address issues like ethical dilemmas, cultural bias, and complex text interpretation, this study intends to
investigate the revolutionary effects of artificial intelligence on English language translation, emphasizing its improvements in
accuracy, accessibility, and real-time capabilities. The translation of English has been transformed by artificial intelligence
(AI), which has improved accessibility, accuracy, and speed. AI-powered solutions like Google Translate and Deeply have
greatly enhanced the quality of translations through sophisticated neural machine translation algorithms, allowing for a more
nuanced comprehension of context, idioms, and cultural nuances. Additionally, AI enables real-time translation, promoting
inclusion and removing linguistic barriers in international communication. Nonetheless, there are still issues, like as sporadic
errors, trouble comprehending extremely complex or imaginative texts, and moral dilemmas like cultural bias and data
privacy. Notwithstanding these drawbacks, linguists' and companies' workflows have been expedited by the use of AI in
translation, opening the door for increased cross-cultural cooperation and establishing new benchmarks for language services.
The results demonstrate how AI may significantly increase the accessibility and accuracy of English translations. AI
promotes effective, real-time communication and improves cross-cultural understanding worldwide, despite obstacles like
cultural prejudice and complicated text management. By addressing issues of cultural bias and data privacy, policymakers can
promote the creation of moral AI translation systems. Encouraging openness, inclusive algorithms, and interdisciplinary
cooperation will guarantee fair access to AI-powered language services, promoting intercultural dialogue and understanding.
Keywords :
AI-Powered Language; Complicated Text; Cross-Cultural Cooperation; Cultural Bias; Revolutionary Effects.