Machine Translation Evaluation between Arabic and English during 2020 to 2024: A Review Study
DOI:
https://doi.org/10.53286/arts.v7i2.2528Keywords:
Machine Translation, Machine Translation Evaluation, Google Translate, Artificial Intelligence, Machine Translation between Arabic and EnglishAbstract
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.
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