Start with a workflow your team recognises
A procurement team may receive an Arabic quotation, record it in an English system and discuss it in a mix of both languages. We map that journey before choosing a model. The objective is a usable result that keeps names, quantities and meaning intact.
- Search approved Arabic and English policies from one question.
- Extract fields from scanned documents into a review queue.
- Prepare bilingual responses using agreed terminology and tone.
Make documents ready for useful answers
Scanned files need text extraction before they can support search or automation. We assess OCR quality, page order, tables and mixed-direction text using your sample documents. The proposed workflow shows reviewers the source page alongside extracted information.
- Check Arabic and Western numerals, dates and currencies.
- Preserve the relationship between table headings and values.
- Route unclear scans and missing fields to a reviewer.
Evaluate Arabic beyond a translated interface
An Arabic menu does not establish that a system understands your work. We test Modern Standard Arabic, the Arabic expressions relevant to your users, English and mixed-language requests. A shared terminology list keeps product names and business concepts consistent.
- Compare answers with an approved reference and a fluent reviewer.
- Measure source accuracy, completeness and correction effort separately.
- Test ambiguous questions and cases where no answer is available.
What you receive
The engagement is scoped around the workflow and available data. Deliverables can include a bilingual evaluation set, a terminology guide, a working prototype and an integration plan. We select existing models and tools against your requirements; any custom training needs a separate feasibility review.
- Documented language and quality requirements.
- A prototype with source references and review steps where relevant.
- A handover covering known limitations, operating costs and next steps.
Before we begin.
Can the solution understand Arabic dialects?
We test the expressions your users actually use and agree an acceptable level of performance. Dialect support varies by model and task, so it must be demonstrated with representative examples.
Do we need a new Arabic language model?
Often the first step is evaluating existing models with better retrieval, terminology and workflow design. Custom training is considered only when there is a clear need and suitable data.
Can Arabic and English documents be searched together?
That can be included in the scope. We test whether questions in one language retrieve the right source in either language, then check the answer and citation quality.