What comes after TMS? Tune in to hear predictions from CSA Research [Webinar 9/18]
Register NowThe current landscape of language services for enterprise translation is plagued by inefficiencies and poor quality. Managing multiple vendors and manual handling of various content systems is a tedious and time-consuming process. The traditional static NMT + Post Edit translation process is outdated, inefficient, and poor in quality. This process requires manual periodic retraining of models every month, resulting in a periodic gap for quality loss and extensive manpower, time, and cost.
The solution lies in implementing a GenAI solution with purpose-built Large Language Models (LLMs) for every relevant area to maximize process efficiency and improve the overall quality of translation. LILT's AI-powered solution is designed to work as a translation co-pilot for linguists, increasing productivity by 5 times compared to the traditional MTPE method.
How LILT's Contextual AI Works
LILT Contextual AI is powered by purpose-built LLMs, which better grasps context and nuance than static neural machine translation, improving AI translation accuracy. LILT Contextual AI works as a translation co-pilot, suggesting translation predictions to linguists by each segment (sentence), allowing them to choose to accept or edit the segment. When linguists edit the segment, the suggested translation also adapts in real-time, automatically correcting grammar and spelling mistakes (like how the Google search engine works). When the segment is accepted, the changes are captured in the translation memory, which then updates the custom model simultaneously without manual intervention, improving the word prediction accuracy (WPA) in real time.
AI Agents for Translation Review
LILT's AI Review agent goes through translated content, scores the segments using the MQM framework, and detects segments that are most likely wrong for human review. This feature allows you to focus on key problems instead of analyzing entire documents. The AI Revision agent detects inconsistent segments that don't align with your brand's tone of voice and style guides, providing rewriting suggestions to simplify the human review process.
AI Analytics
As AI becomes increasingly integral to enterprise localization, measuring its impact is a major challenge. Without clear visibility into AI's role in your operations, it's often difficult to make informed decisions about where to allocate resources. LILT Analytics provides detailed programmatic and project-level insights into customer localization operations and customized AI models, including AI word prediction accuracy, translation quality, and project efficiency. LILT's advanced analytics feature is designed for every enterprise user to access these insights and gain a clearer, more granular view of your AI investment in localization and its impact.
Take the Next Step
Don't let inefficiencies and poor quality hold you back. Promote people to work with readily made end-to-end AI solutions like LILT to bring your AI strategy to real effect. With LILT's AI-powered solution, you can streamline your translation process, improve quality, and reduce costs. Contact us today to learn more about how LILT can help you achieve your enterprise translation goals.