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.

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.

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 its advanced workflow automation. With the integration of Phrase QPS, Orchestrator’s functionality now extends to include automated quality evaluations. Effortlessly create workflows that sort translated content according to its quality level. Content that doesn’t meet your standards is automatically directed to post-editing, while content meeting your criteria progresses seamlessly to completion. This enhancement not only simplifies the translation process but also elevates efficiency and consistency. This ensures the delivery of high-quality content that upholds your brand’s integrity.

With Phrase Orchestrator and QPS effortlessly create workflows that sort translated content according to its quality level.
With Phrase QPS and Phrase Custom AI you will always get better training data which reduces the need for corrections.

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.

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