August 26, 2025World Journal of English LanguageOpen Access

Evaluating Three Neural Machine Translation Platforms for English-Arabic Translation: A Comparative Study of Linguistic Accuracy and Cultural Fidelity

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Authors

SMShahab Ahmad Al MaaytahKing Faisal University

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Implication

Comparative analysis reveals challenges in linguistic accuracy and cultural fidelity of MT systems for English-Arabic translation, indicating room for improvement.

Key Points

Machine translation may improve cross-cultural communication but risks oversimplifying cultural nuances.
Quantitative evaluation identified persistent challenges in accuracy, especially with idiomatic and literary translations.
A mixed-methods approach assessed both syntactic coherence and cultural fidelity using various MT platforms.
Findings suggest that while MT enhances linguistic exchange, it requires integration with human insights for quality.

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Shahab Ahmad Al Maaytah (2025) studied this question.

synapsesocial.com/papers/68af7c8d7567bf4f94ff3d6d https://doi.org/10.5430/wjel.v16n2p1

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Implication

Comparative analysis reveals challenges in linguistic accuracy and cultural fidelity of MT systems for English-Arabic translation, indicating room for improvement.

Evaluating Three Neural Machine Translation Platforms for English-Arabic Translation: A Comparative Study of Linguistic Accuracy and Cultural Fidelity

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Implication

Key Points

Cite This Study

Evaluating Three Neural Machine Translation Platforms for English-Arabic Translation: A Comparative Study of Linguistic Accuracy and Cultural Fidelity

Discussion

Member takes

Implication

Key Points

Cite This Study

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