Comparing translation accuracy in Belt and Road Malaysia children’s literature: Malay and Chinese native speakers vs ChatGPT

The study investigates the translation processes of human and artificial intelligence translators in comparison. Human translators consist of a Chinese native speaker and belt and road translators. Different versions of artificial intelligence translators comprise ChatGPT 3.5 and ChatGPT 4.0. The re...

Full description

Saved in:
Bibliographic Details
Main Authors: Lau, Yoke Lian, Yong, Zi Xian, Chia, Chen Eng, Yong, Zi Hong, Anna Lynn Abu Bakar, Ku Chen Jung @ Nur Alliyah Ku, Ernahwatikah Nasir, Bavani Arumugam
Format: Article
Language:English
English
Published: Bilingual Publishing Group 2024
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/38773/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/38773/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/38773/
https://doi.org/10.59400/fls.v6i1.2069
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ums.eprints.38773
record_format eprints
spelling my.ums.eprints.387732024-06-07T06:26:03Z https://eprints.ums.edu.my/id/eprint/38773/ Comparing translation accuracy in Belt and Road Malaysia children’s literature: Malay and Chinese native speakers vs ChatGPT Lau, Yoke Lian Yong, Zi Xian Chia, Chen Eng Yong, Zi Hong Anna Lynn Abu Bakar Ku Chen Jung @ Nur Alliyah Ku Ernahwatikah Nasir Bavani Arumugam LB1555-1602 Elementary or public school education Q300-390 Cybernetics The study investigates the translation processes of human and artificial intelligence translators in comparison. Human translators consist of a Chinese native speaker and belt and road translators. Different versions of artificial intelligence translators comprise ChatGPT 3.5 and ChatGPT 4.0. The research methodology employed is a keyword detection technique. One human translator and one translator powered by artificial intelligence achieved the highest scores in keyword detection, according to the results. Human translators continue to be indispensable in the field of translation, particularly in the translation of literary works. However, the research group is optimistic that artificial intelligence will soon be able to resolve this issue. Bilingual Publishing Group 2024 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/38773/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/38773/2/FULL%20TEXT.pdf Lau, Yoke Lian and Yong, Zi Xian and Chia, Chen Eng and Yong, Zi Hong and Anna Lynn Abu Bakar and Ku Chen Jung @ Nur Alliyah Ku and Ernahwatikah Nasir and Bavani Arumugam (2024) Comparing translation accuracy in Belt and Road Malaysia children’s literature: Malay and Chinese native speakers vs ChatGPT. Forum for Linguistic Studies, 6. pp. 1-17. ISSN 2705-0610 https://doi.org/10.59400/fls.v6i1.2069
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic LB1555-1602 Elementary or public school education
Q300-390 Cybernetics
spellingShingle LB1555-1602 Elementary or public school education
Q300-390 Cybernetics
Lau, Yoke Lian
Yong, Zi Xian
Chia, Chen Eng
Yong, Zi Hong
Anna Lynn Abu Bakar
Ku Chen Jung @ Nur Alliyah Ku
Ernahwatikah Nasir
Bavani Arumugam
Comparing translation accuracy in Belt and Road Malaysia children’s literature: Malay and Chinese native speakers vs ChatGPT
description The study investigates the translation processes of human and artificial intelligence translators in comparison. Human translators consist of a Chinese native speaker and belt and road translators. Different versions of artificial intelligence translators comprise ChatGPT 3.5 and ChatGPT 4.0. The research methodology employed is a keyword detection technique. One human translator and one translator powered by artificial intelligence achieved the highest scores in keyword detection, according to the results. Human translators continue to be indispensable in the field of translation, particularly in the translation of literary works. However, the research group is optimistic that artificial intelligence will soon be able to resolve this issue.
format Article
author Lau, Yoke Lian
Yong, Zi Xian
Chia, Chen Eng
Yong, Zi Hong
Anna Lynn Abu Bakar
Ku Chen Jung @ Nur Alliyah Ku
Ernahwatikah Nasir
Bavani Arumugam
author_facet Lau, Yoke Lian
Yong, Zi Xian
Chia, Chen Eng
Yong, Zi Hong
Anna Lynn Abu Bakar
Ku Chen Jung @ Nur Alliyah Ku
Ernahwatikah Nasir
Bavani Arumugam
author_sort Lau, Yoke Lian
title Comparing translation accuracy in Belt and Road Malaysia children’s literature: Malay and Chinese native speakers vs ChatGPT
title_short Comparing translation accuracy in Belt and Road Malaysia children’s literature: Malay and Chinese native speakers vs ChatGPT
title_full Comparing translation accuracy in Belt and Road Malaysia children’s literature: Malay and Chinese native speakers vs ChatGPT
title_fullStr Comparing translation accuracy in Belt and Road Malaysia children’s literature: Malay and Chinese native speakers vs ChatGPT
title_full_unstemmed Comparing translation accuracy in Belt and Road Malaysia children’s literature: Malay and Chinese native speakers vs ChatGPT
title_sort comparing translation accuracy in belt and road malaysia children’s literature: malay and chinese native speakers vs chatgpt
publisher Bilingual Publishing Group
publishDate 2024
url https://eprints.ums.edu.my/id/eprint/38773/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/38773/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/38773/
https://doi.org/10.59400/fls.v6i1.2069
_version_ 1802978345190686720
score 13.211869