Kirti Vashee, Language Technology Evangelist, SDL and Quinn Lam, Senior Program Manager, Product Management, SDL
Global enterprises are finding that the continuing content explosion is affecting employee communication needs, which are becoming increasingly multilingual. Many still use generic public machine translation (MT), but the risk of data privacy and the poor quality of one-size-fits-all public MT tools leaves much to be desired.
Create an MT engine that learns new terms and phrases in the context and tone of your business for higher quality translations. Unlike consumer grade generic MT engines on the market, SDL offers self-service or SDL-assisted customization for over 100 language pairs.
In this webinar, experts from SDL will discuss:
• Properly assessing your translation and data to achieve optimal outcomes.
• Identifying your critical terminology to ensure the best MT output.
• Knowing when to use the generic, out-of-the-box Neural Machine Translation (NMT).
• Understanding self-service options to rapidly tune the MT systems to your specific terminology.