Arabic quality review for software and AI products
I review software and AI products the way Arabic users see them: interface, AI answers, and right-to-left layout, and I tell product teams what to fix first.
What I check
Arabic interface text
Menus, buttons, error messages, notifications, and help content.
AI-generated Arabic answers
Accuracy, meaning, terminology, tone, and cultural fit, including confident wrong answers and misread dialect.
Right-to-left (RTL) layout
Alignment, mixed Arabic-English text, numbers, and dates.
What you get
A prioritized list of findings. For each one:
- where it appears and how to reproduce it
- its severity, and why
- the effect on your users
- a recommended fix direction your team can act on
Severity follows impact, not appearance. The same error ranks higher on a payment button than in a footer.
How I work
I test the product myself, as an Arabic user would, and I report only what I observe and can reproduce.
I classify errors with MQM, the established error taxonomy and severity scheme. For Arabic language errors I also draw on LQM, a 2026 academic framework (Magdy et al., Findings of ACL 2026) that classifies Arabic errors across six linguistic levels. The right-to-left and bidirectional rendering checks are my own method.
Why me
28 years at Oracle leading Arabic linguistic quality across 700+ enterprise products, including managing the quality of external vendor teams through style guides, terminology databases, and written feedback.
In my later years there, I applied the same quality methods to Arabic AI output: evaluating LLM responses for accuracy, terminology, and hallucination-related errors, and helping set validation standards for Arabic enterprise AI.
That experience shows me how Arabic text behaves once it enters a real software product, whether a translator or a model wrote it, so I judge it as users will meet it: in the interface, in context, and at scale.
I’m independent. I don’t sell translation, so my verdict has no conflict of interest.
Background
Dr. Ibrahim Khalifa
- PhD in Library and Information Science (Arabic digital content management systems), Minufiya University
- Author/translator of 7 published technology and language books
- EN 15038-certified (2014; predecessor to ISO 17100)
Start with one product
Tell me which product, and which Arabic flows matter most to you. I’ll reply with how I’d review it.
Email info@dareenlingo.com, or message me on LinkedIn or WhatsApp.