Unlock Quality at
Scale with Phrase QPS
Phrase QPS (Quality Performance Score) is a powerful tool that evaluates content quality using a combination of Phrase’s own AI evaluation and post-editing, together with the standard MQM 2.0 quality measure. With a fast and accurate rating system on a scale of 0-100, Phrase QPS provides an effective way to gauge the quality of your content.
Boost Localization Efficiency and Productivity
Phrase QPS empowers linguists to efficiently identify and address issues while working in the TMS and Strings editors, leading to enhanced efficacy in content review. For project managers, Phrase QPS provides unparalleled visibility into the performance of translations during the localization process. This enables informed decision-making regarding reviews and opportunities for automation to expedite specific stages.
Automate Quality Evaluation in Phrase Orchestrator
Phrase Orchestrator streamlines your operations by automating labor-intensive tasks with advanced workflows. By using Phrase QPS in Orchestrator, you can automate quality evaluations and content routing for intelligent decision-making. Effortlessly create workflows that sort translated content according to its quality score. Content that doesn’t meet your standards is automatically directed to human post-editing, while content meeting your criteria progresses seamlessly to completion.
QPS stats in Phrase Analytics gives you a clear, visual way to assess and manage translation quality at scale. Track quality scores, analyze trends, visualize potential cost savings and optimize your MT post-editing strategy by adjusting your QPS threshold—helping you define the best quality threshold to skip post-editing.
Train MT models with QPS-powered data curation through Phrase Custom AI
Phrase QPS is important in training Machine translation (MT) models. By using Phrase QPS together with Phrase Custom AI, only the TM segments that meet a certain QPS level are used to train the MT model. This method is simple and effective—it gives better training data which reduces the need for corrections later.
A Leader in Localization
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