how can i add a custom dictionary in word 2008

A one or two BLEU point gain is a worthy achievement. We use BLEU score (a standard way in the research community) to measure the translation quality of a newly trained baseline model. These previously translated documents allow Custom Translator to learn the preferred translations in context, so Translator can apply these terms and phrases when the context calls for it, and produce a fluent translation in the target language, respecting the context-dependent grammar of the target language.

However, with custom trained specialized translation systems, customers can achieve much higher adherence to the domain-specific terminology and style by training a custom translation system on previously translated, in-domain documents.

We put every new baseline language model through a rigorous human evaluation process to ensure the translation quality continues to meet high standards on generic input across all domains. With this release, enterprises, small and medium sized businesses, app developers, and language service providers can build advanced custom neural translation systems that respect their defined business terminology and seamlessly integrate those systems into existing or new applications, workflows, and websites to attract customers and grow the business. Customers can now build custom models with all document types (Training, Testing, Tuning, Phrase Dictionary and Sentence Dictionary) using full text documents, like Office documents, PDFs, HTML and plain text. Today, Custom Translator completed the full V2 platform upgrade to deliver an even bigger translation quality gain than before. The August release enabled customers to use the dictionary (phrase or sentence) document type to build custom models on top of the V2 platform for a quick translation quality improvement over the V1 platform. V2 is the same translation architecture which powers the standard uncustomized Translator API, as well as translation in Microsoft Office 365, Speech, /translator, Edge, and more. In early August 2020, we started our Custom Translator upgrade from Long Short-Term Memory (aka LSTM) based neural machine translation architecture (or V1) to our Microsoft Translator’s state-of-the-art Transformer based architecture (or V2). The Custom Translator journey to be on the leading edge of machine translation technology continues.

How can i add a custom dictionary in word 2008