Quality estimation for machine translation is an active field of research in the NLP community. As a method that does not require access to reference translations, it may very well become a standard evaluation tool for translation and language data providers in the future.
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LANGUAGE DATA
What is data cleaning? What is Dirty or Noisy Data? Methods for removing noisy data from the MT training datasets.
TRANSLATION QUALITY
Data are the key to process improvements, quality control, and automation, and they can be collected in a GDPR-compliant way. Learn how TAUS DQF treats your personal data.
MACHINE TRANSLATION
Quality estimation for machine translation is an active field of research in the NLP community. As a method that does not require access to reference translations, it may very well become a standard evaluation tool for translation and language data providers in the future.
LOW-RESOURCE LANGUAGES
As machine translation for low-resource languages becomes more popular the need for low-resource language data becomes critical. Here's why.
TRANSLATION DASHBOARDS
It's now possible for DQF users on SDL Trados Studio to send metadata-only and still be able to generate detailed quality evaluation reports on the DQF Dashboard.
TRANSLATION DASHBOARDS
What is quality assurance? How can you do translation quality assurance in the most efficient and data-oriented way?