Machine Translation
Automatic machine translation is one pillar of cost-effective, trusted translation. Material that is of indeterminate value or time sensitive can be quickly and inexpensively be translated to provide the gist of the meaning.
Lingotek has integrated public machine translation engines like Microsoft Bing and Google Translate and private software like LanguageWeaver directly into the Collaborative Translation Platform workbench. Additional machine translation engines plug in simply and quickly thanks to the comprehensive Lingotek API.
Translation Memory
Translation memory is another pillar of cost-effective, trusted translation. Translation memory reduces cost and increases the speed and accuracy of your professional and community translations. Lingotek’s advanced leveraging technology matches full sentences, phrases and single relevant words to maximize TM data reuse. Matches are prioritized by subject tags, data sources, and the percentage overlap with the source text.
You can also to customize where the translation for each document is stored. Multiple Lingotek storage vaults can be added to a translation project for reference and leveraging.
Terminology Management
Terminology management is a third pillar of cost-effective, trusted translation. Ensuring that your translations use the proper terminology in each language helps to maintain brand consistency and feeds into a global marketing strategy. Using a comprehensive glossary is one of the most effective means of ensuring tight terminology management over a translation project. Lingotek’s Collaborative Translation Platform prompts translators when a term in the source text matches a glossary entry.
Project Management
The final pillar of cost-effective, trusted translation is project management. The Collaborative Translation Platform allows for infinitely customizable workflows that meet the needs of the most straightforward and complicated of projects. The ability to see real-time statistics about the translation projects provides project managers the data to make agile changes to resource allocation.