Andovar rolls out MQM Assessment Framework using Content Quo
A translation QA system automates the process, providing quality control data about 500 percent faster and reducing overhead by about 90 percent.
A translation QA system automates the process, providing quality control data about 500 percent faster and reducing overhead by about 90 percent.
Andovar relies on 10 key assets and technologies to create high quality translations that clients love. Find out what's used and how it improves localization.
Learn how QA through Multidimensional Quality Metrics (MQM) increases accuracy, fluency, speed, and cost savings for enterprise clients in translation for localization projects.
Pronunciation guides are vital for creating accurate voice-overs without costly retakes or embarrassing errors. Learn what it takes to create your own voiceover pronunciation guide here.
Machine translations typically require human post editing for accuracy. We provide the best practices for post editing and tips on how to train your post-editors.
A good translation begins with a properly written source text. Through careful planning and following a few tips, you can ensure your text translates easily.
E-learning localization saves organizations a significant amount of money by providing an alternative to implementing training programs in individual locations, regions, or countries.
