BREAKING DOWN LANGUAGE BARRIERS: THE POWER AND PROGRESS OF MACHINE TRANSLATION
Keywords:
machine translation, linguistic gaps, communication, neural networks, trucking Industry, compliance standardsAbstract
In our increasingly interconnected world, effective communication across language barriers is paramount. This is where machine translation comes into play, revolutionizing the way we bridge linguistic gaps. As learning and development specialists, we will appreciate how technology is reshaping industries, including the trucking business, by making communication more accessible and efficient. Neural machine translation, on the other hand, has brought about a paradigm shift. Inspired by the human brain, NMT uses deep learning models called neural networks to process entire sentences and even paragraphs. This enables it to consider context, idiomatic expressions, and linguistic nuances, resulting in more accurate translations.
While machine translation has made significant strides, it's not without challenges. It can still struggle with idiomatic expressions, cultural nuances, and low-resource languages. However, ongoing research and development promise continued improvement in these areas.
References
Abduraxmonova N. Kompyuter lingvistikasi (darslik), Toshkent: Nodirabegim, 2021. - B. 400
François Yvon, Machine Translation, France, 2022, pp 20-22.
Grace Hui-chin Lin, Machine Translation for Academic Purposes, Proceedings of the International Conference on TESOL and Translation, 2009, pp.133-148.
Абдурахмонова, Н., & Абдувахобов, Г. (2021). O ‘QUV LUG ‘ATINI TUZISHNING NAZARIY METODOLOGIK ASOSLARI. МЕЖДУНАРОДНЫЙ ЖУРНАЛ ИСКУССТВО СЛОВА, 4(6).
Abdurakhmonova, N., Shakirovich, I. A., & O‘G‘Li, K. N. S. (2022). Morphological analyzer (morfoAnalyse) Python package for Turkic language. Science and Education, 3(9), 146-156.
Ismailov, A. S., Shamsiyeva, G., & Abdurakhmonova, N. (2021). Statistical machine translation proposal for Uzbek to English. Science and Education, 2(12), 212-219.
Абдурахмонова, Н., & Бойсариева, С. (2023). TABIIY TILNI QAYTA ISHLASHDA (NLP) OKKAZIONALIZMLARNING MORFEM TAHLILI. МЕЖДУНАРОДНЫЙ ЖУРНАЛ ИСКУССТВО СЛОВА, 6(3).
Abdurakhmonova, N., Tuliyev, U., Ismailov, A., & Abduvahobo, G. (2022). UZBEK ELECTRONIC CORPUS AS A TOOL FOR LINGUISTIC ANALYSIS.
In Компьютерная обработка тюркских языков. TURKLANG 2022 (pp. 231-240).
Haifeng Wang, Progress in Machine Translation, Birmingham, 2022, pp. 1-2.
Mojca Brglez and Vintar Špela Vintar, Lexical Diversity in Statistical and Neural Machine Translation, 1000 Ljubljana, Slovenia, 2022, pp.5-10
https://www.researchgate.net/journal/Machine-Translation-1573-0573
