The new way to manage and publish translations at scale
Do you know if your content needs to be reviewed for human fluency? There is nothing better than custom GenAI for automated workflows, reducing cost and time by 90%
.png)
Machine Translation (neural, LLM translation) became increasingly reliable over the years. However, results still needed to be reviewed by a human in order to guarantee quality. This led to a segment-level mentality where previous translations (100% matches) were locked and translators reviewed each segment and post-edited any errors, adding the human reviews to the translation memory.
Things improved with MTQE (Machine Translation Quality Estimation). Machine-translated segments that achieved a certain quality were not sent to human translators for review or post-editing. Still, we moved at a segment level.
Many translators and clients felt trapped by a process where locked segments could not be modified according to context. Although the workflow was slightly improved, translations still had to be ordered, translation memories run, translations reviewed, and sent to the client.
Our Deep Adaptive AI Translation technology represents a significant advancement in machine translation. It's designed to adapt to specific client needs by using their existing translated materials or ad hoc glossaries, resulting in highly customized and accurate translations.
Leveraging Existing Reference Materials
The system can use reference materials in various formats:
The AI-Powered Adaptation Process: Retrieval-Augmented Generation (RAG)
Quality Estimation
This step involves assessing the quality of the generated translations and it uses machine learning models trained to evaluate translation quality. This ensures that only high-quality translations move forward in the process. Any "over post-editing" is flagged for human review. Typically, errors and over post-editing make less than 10% of the output.
AI Verification Agents
These are specialized AI models or algorithms and are trained for particular tasks. In automatic post-editing, they perform final checks on the translations, verifying terminology, accuracy (correctness of the translation), fluency (how natural it sounds in the target language) and any special features that are necessary, like particular points in style guides.
State-of-the-art process that guarantees automatic post-editing quality
Human translators add value only where really required: high-value content, cultural adaptation, and final verification
Each client has a specific translation engine, with its own adaptation. Add new content in tmx, csv, tsv to further adapt it and improve
Our cutting-edge Automatic Post-Editing (APE) technology represents the pinnacle of translation refinement, combining the power of Artificial Intelligence with human expertise. This innovative approach ensures your translations are not just accurate, but polished to perfection.
We want to help you grow your business by combining human and artificial intelligence. Contact us and let technology do the work for you.
