Automatic Quality Estimation (AQE)
Determine the Quality of Your Multilingual Content
Facilitate the quality assurance of your translated content with the power of artificial intelligence and human expertise.
About Our Automatic Quality Estimation Solution
To create multilingual content that appeals to your target audience, an efficient quality assurance process is essential. By using artificial intelligence for quality estimation, this process can be streamlined, reducing turnaround time, and translation costs.
A main feature of our AI platform is the Automatic Quality Estimation (AQE) of your machine translations. Trained on and benchmarked against human-evaluated reference translations, it provides a real-time assessment of the translation accuracy and the overall quality of the MT engine. By defining certain evaluation metrics, AQE thus serves as a basis for decision-making on further quality measures, such as human post-editing or MT engine testing.
By providing quality scores, AQE also offers a deeper insight into the quality evolution over time, overall performance and results by language combination, facilitating an organization’s strategic QA management.
Key Benefits
Cost-efficient quality assurance
Instant automatic quality estimation offers a cost-effective solution to spot the quality of MT output according to the desired quality level and to monitor translation quality evolution in the long term.
Standardized quality evaluation (QE)
By defining specific quality indicators, a standardized QE model can be implemented to better evaluate and predict the quality of translations.
Blend of human and artificial intelligence
Our AQE tool, which is trained on human reference translations and evaluated by humans, provides the best blend of AI and human expertise – creating content that resonates with your target audience.
Use Cases
Machine translation quality evaluation (MTQE)
With the help of an AQE, you can gain deeper insights into the quality of your MT systems based on the analysis of indicators such as the fluency, grammar, and vocabulary of the multilingual content and determine its accuracy based on human reference translations.
Agile translation quality assessment processes of multilingual content at a click Reducing overall translation costs Basis for a decision to request a human review to secure a high level of quality
MT engine evaluation
Our team supports clients in gaining a clear understanding of the quality level of different machine translation systems in a variety of language combinations. With consultation of experienced language specialists for a more in-depth linguistic assessment based on the client’s objectives.
Initial as well as continuous quality assurance in the machine translation process Basis for evaluating whether to use an MT engine
Translation quality evaluation
Use AQE to gain an overview of the quality of your human translation projects based on pre-defined linguistic criteria enabling you to monitor the quality evolution and initiate measures if necessary.
Cost savings compared to traditional quality assurance processes Ensuring and continuously monitoring translation quality
In-house Machine Translation (MT) and Artificial Intelligence (AI) Department
At Seprotec, we believe in a “human at the core” approach. That’s why we have an expert team of language technologies engineers and language specialists who, in addition to carrying out our customer requests, are also involved in the research and consultancy services in order to develop best machine translation and AI solutions. This enables us to ensure that we can always provide our customers state-of-the-art solutions and keep them ahead of the curve.
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