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All Journal International Journal of Economics, Management and Accounting
Budi Indra Syahdewa
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Journal : International Journal of Economics, Management and Accounting

 1 
Machine Translation Challenges and Cultural Sensitivity Budi Indra Syahdewa; Zulhendry Zulhendry
International Journal of Economics, Management and Accounting Vol. 1 No. 4 (2024): December : International Journal of Economics, Management and Accounting
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijema.v1i4.830

Abstract

Machine translation (MT), especially neural machine translation (NMT) technology, has made significant progress in producing more natural and fluent translations. However, this technology still faces major challenges related to cultural sensitivity, where idiomatic, philosophical, and social contextual meanings often fail to be captured accurately. Through a qualitative literature review, this article examines the main challenges faced by machine translation in understanding and reproducing cultural nuances. The analysis shows that NMT systems have limitations in translating philosophical terms and idioms, tend to be biased due to the dominance of English-language data, and ignore the metalinguistic awareness of humans. Failure to capture these cultural dimensions not only risks losing the authentic meaning of the message but can also accelerate the loss of local languages. This study concludes that the role of humans remains irreplaceable in translating highly cultural texts. Therefore, a hybrid approach that combines technology with human intervention ( human-in-the-loop ) and the development of models trained with more culturally diverse data is recommended to produce inclusive and ethical translations.
Co-Authors Zulhendry Zulhendry