article

Machine Translation Evaluation between Arabic and English during 2020 to 2024: A Review Study

  • Aziz Mohammed Abdo Saeed 1
  1. 1. Master of English Linguistics, English Department, Faculty of Arts, Thamar University, Republic of Yemen.
Issue: Vol. 7 No. 2 (2025)
Pages: 665-678
Published: 2025-05-26
DOI: 10.53286/arts.v7i2.2528
PDF

Abstract

The field of machine translation is one of the new fields of study that attracts the interest of many researchers. The evaluation of machine translation is central to the field and so many research has been conducted on this. This study presents a review of the studies conducted on evaluation of machine translation between Arabic and English languages during the period 2020 to 2024. It reviews a collection of 11 studies conducted during 2020 to 2024.  It presents an overview of these studies indicating their objectives, methodologies, findings. By synthesizing these studies, reader can have clear overview of current research on this area. This study presents a database for future researchers interested in machine translation, particularly evaluation of machine translation quality. The study found that Google Translate was the subject of evaluation for most of the studies and that all studies almost used human metrics for evaluation.  In addition to presenting the current trends of research and a summary of a group of studies, this study suggests areas which future research should address to fill the gaps that have been noticed in the review.

Keywords

Machine Translation Machine Translation Evaluation Google Translate Artificial Intelligence Machine Translation between Arabic and English

Downloads

Download data is not yet available.

References (24)

  1. Abdelaal, N. M., & Alazzawie, A. (2020). Machine Translation: The Case of Arabic-English Translation of News Texts. Theory & Practice in Language Studies (TPLS), 10(4).‏ Page range
  2. Aldawsari, H. A. (2024). Evaluating Translation Tools: Google Translate, Bing
  3. Ali, M. A. (2020). Quality and Machine Translation: An Evaluation of Online Machine Translation of English into Arabic Texts. Open Journal of Modern Linguistics, 10 (05), 524–548. https://doi.org/10.4236/ojml.2020.105030
  4. Almahasees, Z., Al-Taher M., &, Helene J. (2021a). Evaluation of Facebook Translation Service (FTS) in Translating Facebook Posts from English into Arabic in Terms of TAUS Adequacy and Fluency during Covid-19. Advances in Science, Technology and Engineering Systems Journal 6(1) 1241-1248 .https://dx.doi.org/10.25046/aj0601141
  5. Almahasees, Z., Meqdadi, S., & Albudairi, Y. (2021b). Evaluation of Google Translate in Rendering English COVID-19 Texts into Arabic. Journal of Language and Linguistic Studies, 17(4), 2065-2080. Doi: 10.52462/jlls.149
  6. Alnasery, I. H. S. (2024). Reducing the Ambiguity in Translating Prepositions from English into Arabic, Arts for Linguistic & Literary Studies, 6(2): 541 -555
  7. Alzain E., Nagi K.A., Algobaei, F. (2024). The Quality of Google Translate and ChatGPT English to Arabic Translation: The Case of Scientific Text Translation. Forum for Linguistic Studies. 6(4): 837-849. DOI: https://doi.org/10.30564/fls.v6i3.6799
  8. Ashuja’a, A., & Jibreel, I. (2024). Translator Praxis: An Investigation into the Practical Component in BA Translation Programs at Yemeni Universities. Arts for Linguistic & Literary Studies, 6(3), 574–604. https://doi.org/10.53286/arts.v6i3.2085
  9. At-tall, S. M. (2019). Comparative Study between Google Translator and Human Translator in Rendering Colloquial Arabic Expressions in the Late Prime Minister Wasfi At-Tall's Speeches into English, (Unpublished Master's thesis). Yarmouk University, Irbid, Jordan.
  10. Elmahdi, O. E. H., & Mohamad, H. M. H. (2024). Developing Translation and Interpretation Skills: An Analysis of Students’ Linguistic Needs. Arts for Linguistic & Literary Studies, 6(4), 652–671. https://doi.org/10.53286/arts.v6i4.2201
  11. Han, L. (2016). Machine Translation Evaluation Resources and Methods: A Survey. arXiv preprint arXiv:1605.04515.‏
  12. Harrat, S., Meftouh, K., & Smaili, K. (2019). Machine Translation for Arabic Dialects (Survey). Information Processing & Management, 56(2), 262-273.‏
  13. Hsu, J. A. (2014). Error Classification of Machine Translation A Corpus-based Study on Chinese-English Patent Translation. Journal of Translation Studies, 121-136.‏
  14. Kadaoui, K., Magdy, S. M., Waheed, A., Khondaker, M. T. I., El-Shangiti, A. O., Nagoudi, E. M. B., & Abdul-Mageed, M. (2023). Tarjamat: Evaluation of Bard and Chatgpt on Machine Translation of Ten Arabic Varieties. Preceedings of the First Arabic Natural Language Processing Conference, ArabicNLP 2023, 52-75. https://doi.org/10.18653/v1/2023.arabicnlp-1.6
  15. Khoshafah, F. (2023). ChatGPT for Arabic-English Translation: Evaluating the Accuracy.‏ ResearchSquare. https://doi.org/10.21203/rs.3.rs-2814154/v2
  16. Motair, A. A. A., Algobaei, F., & Alhazmi, M. D. (2025). Ethics in Translation: A Pathway to Integrity in Future Professionals. Arts for Linguistic & Literary Studies, 7(1), 711–732. https://doi.org/10.53286/arts.v7i1.2417
  17. Mounassar, A. (2018). Difficulties and Problems Facing English Students in Translating Culture-Specific Items from English to Arabic and their Solutions. Journal of Arts, 1(7), 496–437. https://doi.org/10.35696/.v1i7.520
  18. Nagi, K. A. (2023). Arabic and English Relative Clauses and Machine Translation Challenges. Journal of Social Studies, 29(3), 145–165. https://doi.org/10.20428/jss.v29i3.2180
  19. Qassem, M. & Aldaheri, M. M. (2023). Can Machine Translate Dialogue Acts: Evidence from Translating Dialogues from English to Arabic. 3L: Language, Linguistics, Literature,29 (4), 63-81
  20. Saeed, A. M. (2024). Quality Assessment of Google Translate: Translating Texts from Arabic into English [ Unpublished Master's thesis]. Thamar University, Thamar, Yemen.
  21. Sawaf, H. (2010). Arabic dialect handling in hybrid machine translation. In Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers.‏
  22. Translator, and Bing AI on Arabic Colloquialisms. Arab World English Journal (AWEJ) Special Issue on ChatGPT, April 2024: 237-251.DOI: https://dx.doi.org/10.24093/awej/ChatGPT.16
  23. Zakraoui, J., Saleh, M., Al-Maadeed, S., & Alja'am, J. (2020). Evaluation of Arabic to English Machine Translation Systems. 11th International Conference on Information and Communication Systems (ICICS), 185-190. https://doi.org/10.1109/ICICS49469.2020.239518.
  24. Zughoul, M. R. & Abu-Alshaar, A. M. (2005). English/Arabic/English Machine Translation: A Historical Perspective. Meta, 50(3), 1022–1041. https://doi.org/10.7202/011612ar

Similar Articles

1-10 of 369

You may also start an advanced similarity search for this article.