“In the beginning was the Word, and the Word was with God, and the Word was God,” (John 1:1). While virtually every reputable English translator from any religious background and in any era has rendered the verse: With Quickstart learn to build a translation model in Custom Translator.One of the most commonly discussed (and easily refuted) changes that Jehovah’s Witnesses made to the Bible when they produced their New World Translation (NWT) is their rendering of John 1:1.
Securely translate anytime, anywhere on all your apps and servicesĬustom systems can be seamlessly accessed and integrated into any product or business workflow, and on any device, via the Microsoft Translator Text API through standard REST technology. See the Cognitive Services Translator Text API pricing webpageįor pricing tier details. The cost of using a custom model to translate content is based on the user’s Translator Text API pricing tier. The API allows users to manage creating or updating training through their own app or webservice. The system will then be available for use at scale within a few hours (actual time depends on training data size).Ĭustom Translator can also be programmatically accessed through a dedicated API (currently in preview). Using the secure Custom Translator portal, users can upload training data, train systems, test systems, and deploy them to a production environment through an intuitive user interface. With Custom Translator, training and deploying a custom system doesn't require any programming skills. If the appropriate type and amount of training data is supplied, it's not uncommon to see BLEU score gains between 5 and 10 points by using Custom Translator. If users have access to versions of the same content in multiple languages but in separate documents, Custom Translator will be able to automatically match sentences across documents. Users can upload ALIGN, PDF, LCL, HTML, HTM, XLF, TMX, XLIFF, TXT, DOCX, and XLSX documents.Ĭustom Translator also accepts data that's parallel at the document level to make data collection and preparation more effective. These documents include domain-specific terminology and style, better than a standard translation system. You can use previously translated documents to build a translation system. Custom Translator provides NMT for your custom models resulting better translation quality.
WHICH TRANSLATION DOES THE COPTIC READER USE FULL
Because NMT better captures the context of full sentences before translating them, it provides higher quality, more human-sounding, and more fluent translations. NMT provided major advances in translation quality over the industry-standard Statistical Machine Translation (SMT) technology. Microsoft Translator released Neural Machine Translation (NMT) in 2016. Your custom translation model can be accessed anytime by your existing applications/ programs via Microsoft Translator Text API V3. If you don't have training data set, you can train a model with only dictionary data.Ĭollaborate with your team by sharing your work with different people. Improve your translation by applying neural machine translation (NMT) provided by Custom translator.īuild systems that knows your business terminologyĬustomize and build translation systems using parallel documents, that understand the terminologies used in your own business and industry. FeatureĪpply neural machine translation technology Concepts provide in-depth explanations of the feature functionality.Ĭustom Translator provides different features to build custom translation system and later access it.
How-to guides contain instructions for using the feature in more specific or customized ways.Quickstarts are getting-started instructions to guide you through making requests to the service.This documentation contains the following article types: For a complete list, see Microsoft Translator Languages. Translation systems built with Custom Translator are available through the same cloud-based, secure, high performance, highly scalable Microsoft Translator Text API V3, that powers billions of translations every day.Ĭustom Translator supports more than three dozen languages, and maps directly to the languages available for NMT. The customized translation systems seamlessly integrate into existing applications, workflows, and websites. Custom Translator is a feature of the Microsoft Translator service, which enables Translator enterprises, app developers, and language service providers to build customized neural machine translation (NMT) systems.
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