Manage your human evaluations of Machine Translation quality effortlessly at any scale

ContentQuo Evaluate MT is a cloud-based platform for evaluating machine translation quality through structured human assessments. It supports Adequacy-Fluency scoring, MQM error annotation, and post-editing analysis, helping localization teams select the best MT engines, optimize training, and reduce evaluation overhead. Designed for flexibility, it integrates with any TMS and supports unlimited users.

• Perform quick human assessment with Adequacy-Fluency
• Deeply analyze MT output with MQM error annotation
• Run post-editing “lab tests” for Edit Distance

Features

• **Quick eval with Adequacy-Fluency: **Rating Scale approach is the fastest and cheapest way to measure how humans perceive raw MT quality
• **Detailed eval with Error Annotation (MQM): **Error Typology approach is the best way to deeply analyze mistakes made by an MT engine and get specific ideas for retraining
• **Post-Editing analysis with Edit Distance: **Perform a “mock post-edit” online or import PEMT jobs from your Translation Management System to calculate TER
• **Central database of MT quality scores: **Collect and manage all results of your human quality evaluations for your Machine Translation engines in one place