During Build developer conference early this year, Microsoft announced the preview of Custom Translator feature as part of its Microsoft Translator service. This feature offered a new way for enterprises to customize neural machine translation systems. These customizations can be applied to both text and speech translation workflows. And it enables additional context to generic translation models so that translations can reflect a company’s industry, tone and unique terminology. Yesterday, Microsoft announced the general availability of this feature.
“Using Custom Translator, we’ve seen very good quality in comparison to other engines. It is very flexible. You can make engines just based on dictionaries if you don’t have enough data, and if you do have enough data you can make an engine based on data plus dictionaries. From the standpoint of customization, having that flexibility is really important,” said Alex Yanishevsky, Senior Manager for machine translation at Welocalize, a customer who tried Custom Translator service during its preview phase.
Custom Translator features:
|Leverage neural machine translation technology||Improve your translation by leveraging neural machine translation (NMT) provided by Custom translator.|
|Build systems that knows your business terminology||Customize and build translation systems using parallel documents, that understand the terminologies used in your own business and industry.|
|Use a dictionary to build your models||If you don’t have training data set, you can train a model with only dictionary data.|
|Collaborate with others||Collaborate with your team by sharing your work with different people.|
|Access your custom translation model||Your custom translation model can be accessed anytime by your existing applications/ programs via Microsoft Translator Text API V3.|
Microsoft mentioned that general availability pricing will go into effect on February 1st, 2019.