With our culture of innovation, Andovar leads the way in using AI to transform language processing and translation for eLearning. By shifting from traditional translation methods to a human-in-the-loop hybrid model, our advanced approach delivers speed and quality at competitive rates.
With access to over 50 out-of-the-box translation engines across various languages and domains, our translation management system suggests the best MT engine for each language and subject-matter. This ensures superior translation results in milliseconds, ready for language lead validation.
Andovar's Large Language Models (LLMs) work silently behind the scenes to boost efficiency and productivity, ensuring premium eLearning translations. By automating terminology, enhancing style and tone, and providing quality assurance, our LLMs handle significant workload, allowing our native language experts to concentrate on refining and validating your content.
This LLM identifies the domain and subject-matter of content to align with the most suitable translation engine and subject-matter experts.
This proprietary LLM turns partial TM matches into 100% matches, reducing cost, while accelerating turnaround time. All upgraded segments are flagged for cursory review.
Trained with client and domain-specific content, this LLM extracts, defines and translates terminology across any domain, while also allowing terminology updates to be made in bulk.
Andovar eLearning has over 50 off-the-shelf AI-powered MT engines, and can customize engines optimized specifically to your company and industry.
By learning from your previous translations, this core LLM feature enhances the style and tone of your content to match your corporate brand guidelines and past courses.
Realtime assessments of translation and post-editing activity and throughput are benchmarked against known translation and productivity parameters to flag risky content and send for a second review.
Translation assessments are performed at several stages during the project, and issues flagged by our LLMs by category for language lead review.
Issues are logged and classify for easy SME validation and sign-off. All QA is overseen by professional human QA experts and validated by in-country SMEs.