Translation Quality of Artificial Intelligence and Machine Translation Vs. Human Translation Utilizing MTPE Skills (An Empirical Study on Allusion Translation)
Allusion is one of the culture-bound expressions that need careful consideration while translating. Machine translation (MT) and human translators (HTs) encounter difficulties in dealing with them. This study compares Translation Quality (TQ) of MT and Artificial Intelligence (AI) to HTs utilizing M...
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| Format: | Article |
| Language: | Arabic |
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University of Science and Technology, Yemen
2024-11-01
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| Series: | مجلة الدراسات الاجتماعية |
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| Online Access: | https://journals.ust.edu/index.php/JSS/article/view/2545 |
| _version_ | 1826912951010852864 |
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| author | Ibrahim Jibreel |
| author_facet | Ibrahim Jibreel |
| author_sort | Ibrahim Jibreel |
| collection | DOAJ |
| description | Allusion is one of the culture-bound expressions that need careful consideration while translating. Machine translation (MT) and human translators (HTs) encounter difficulties in dealing with them. This study compares Translation Quality (TQ) of MT and Artificial Intelligence (AI) to HTs utilizing MTPE focusing on identifying the MTPE skills to keep HT in favor of MT and AI.
A quantitative and qualitative mixed method was adopted using a test of 30-item in-context English-to-Arabic allusions translated by Google Translate and ChatGPT and then given to a random sample of 40 HTs. The TQ of AI, MT and HT target texts were assessed following O'Brien's (2012) model. The participants wrote reports on MTPE skills and were involved in a focus group discussion to determine the MTPE skills used. One-Sample t-Test, One-Way ANOVA and POST HOC Test were used. Results show HTs utilizing MTPE are of Moderate Quality (60%), and MT and AI-based translations are of Low Quality (44.44% & 42.22%). HTs employ some MTPE skills and strategies that resulted in statistically significant differences between HTs of allusions compared to MT and AI in favor of HTs. The study recommends enhancing MTPE skills among translation students and implementing training for further developing translators. |
| first_indexed | 2025-02-17T10:37:30Z |
| format | Article |
| id | doaj.art-4a6965bf9d91456b856fdc41e47ae913 |
| institution | Directory Open Access Journal |
| issn | 2312-525X 2312-5268 |
| language | Arabic |
| last_indexed | 2025-02-17T10:37:30Z |
| publishDate | 2024-11-01 |
| publisher | University of Science and Technology, Yemen |
| record_format | Article |
| series | مجلة الدراسات الاجتماعية |
| spelling | doaj.art-4a6965bf9d91456b856fdc41e47ae9132024-12-30T10:13:32ZaraUniversity of Science and Technology, Yemenمجلة الدراسات الاجتماعية2312-525X2312-52682024-11-01303467210.20428/jss.v30i3.25452317Translation Quality of Artificial Intelligence and Machine Translation Vs. Human Translation Utilizing MTPE Skills (An Empirical Study on Allusion Translation)Ibrahim Jibreel0Associate Professor of English & Translation Studies, Department of English & Translation, University of Science & Technology, HodeidahAllusion is one of the culture-bound expressions that need careful consideration while translating. Machine translation (MT) and human translators (HTs) encounter difficulties in dealing with them. This study compares Translation Quality (TQ) of MT and Artificial Intelligence (AI) to HTs utilizing MTPE focusing on identifying the MTPE skills to keep HT in favor of MT and AI. A quantitative and qualitative mixed method was adopted using a test of 30-item in-context English-to-Arabic allusions translated by Google Translate and ChatGPT and then given to a random sample of 40 HTs. The TQ of AI, MT and HT target texts were assessed following O'Brien's (2012) model. The participants wrote reports on MTPE skills and were involved in a focus group discussion to determine the MTPE skills used. One-Sample t-Test, One-Way ANOVA and POST HOC Test were used. Results show HTs utilizing MTPE are of Moderate Quality (60%), and MT and AI-based translations are of Low Quality (44.44% & 42.22%). HTs employ some MTPE skills and strategies that resulted in statistically significant differences between HTs of allusions compared to MT and AI in favor of HTs. The study recommends enhancing MTPE skills among translation students and implementing training for further developing translators.https://journals.ust.edu/index.php/JSS/article/view/2545allusion translationartificial intelligence (ai)human translation (ht)machine translation (mt)mtpe & translation quality (tq) |
| spellingShingle | Ibrahim Jibreel Translation Quality of Artificial Intelligence and Machine Translation Vs. Human Translation Utilizing MTPE Skills (An Empirical Study on Allusion Translation) مجلة الدراسات الاجتماعية allusion translation artificial intelligence (ai) human translation (ht) machine translation (mt) mtpe & translation quality (tq) |
| title | Translation Quality of Artificial Intelligence and Machine Translation Vs. Human Translation Utilizing MTPE Skills (An Empirical Study on Allusion Translation) |
| title_full | Translation Quality of Artificial Intelligence and Machine Translation Vs. Human Translation Utilizing MTPE Skills (An Empirical Study on Allusion Translation) |
| title_fullStr | Translation Quality of Artificial Intelligence and Machine Translation Vs. Human Translation Utilizing MTPE Skills (An Empirical Study on Allusion Translation) |
| title_full_unstemmed | Translation Quality of Artificial Intelligence and Machine Translation Vs. Human Translation Utilizing MTPE Skills (An Empirical Study on Allusion Translation) |
| title_short | Translation Quality of Artificial Intelligence and Machine Translation Vs. Human Translation Utilizing MTPE Skills (An Empirical Study on Allusion Translation) |
| title_sort | translation quality of artificial intelligence and machine translation vs human translation utilizing mtpe skills an empirical study on allusion translation |
| topic | allusion translation artificial intelligence (ai) human translation (ht) machine translation (mt) mtpe & translation quality (tq) |
| url | https://journals.ust.edu/index.php/JSS/article/view/2545 |
| work_keys_str_mv | AT ibrahimjibreel translationqualityofartificialintelligenceandmachinetranslationvshumantranslationutilizingmtpeskillsanempiricalstudyonallusiontranslation |