AI Can Translate Arabic. But Can It Understand What We Mean?

Photo: Arabic note-taking. View on Unsplash.

AI translation can be impressively quick. A sentence goes in, another language comes out, and the result may look completely natural. But does it carry the same meaning?

As someone who works in Arabic and English, I think translation is more than replacing one word with another. It also means noticing tone, context, and what a speaker intends to communicate.

Take the Arabic expression يعطيك العافية (ya‘ṭīk il-‘āfyeh). Literally, it wishes someone health or strength. In everyday conversation, depending on the situation, it can also express appreciation for someone’s effort. A word-for-word English translation may sound strange, while a phrase such as “Thanks for your hard work” may better fit the moment.

The right translation depends on who is speaking, who is listening, and what is happening.

The challenge of dialect

Arabic is used in many regional varieties, alongside Modern Standard Arabic. A phrase that feels natural in Syrian Arabic may sound different—or be unfamiliar—to someone who mainly reads formal Arabic. Dialects also vary in vocabulary, spelling, and expression.

Recent research published through the Association for Computational Linguistics has examined AI translation across multiple Arabic dialects. Other ACL research found a performance gap between Modern Standard Arabic and dialectal Arabic in its tested tasks. That doesn’t mean AI cannot help with Arabic. It means a fluent-sounding answer still deserves a careful check.

(https://unsplash.com/photos/hands-typing-on-a-laptop-computer-keyboard-AnB0zwEeuYU).*

A useful role for AI—and for people

AI can help produce a first draft, suggest alternatives, or compare versions quickly. A bilingual person can then check whether the result sounds natural, suits the audience, and preserves the intended tone.

This matters in ordinary situations: a friendly message, a work email, a public announcement, or an important instruction. The words may be grammatically correct and still feel too formal, too blunt, or simply unlike what the speaker meant.

For me, the best approach is to treat AI as a helpful assistant and the human reviewer as the person responsible for the final meaning.

What Arabic phrase would you use to show that a literal translation misses the point? Share it in the comments, along with the situation where you would say it.

Sources

• Jon, Bondok, and Bojar, “Current state of LLMs for Arabic dialectal machine translation,” Association for Computational Linguistics: https://aclanthology.org/2026.abjadnlp-1.41/
• “Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialogues,” Association for Computational Linguistics: https://aclanthology.org/2026.acl-long.963/