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Neural machine translation models available through the Watson Language Translator API for developers. [4] [5] Microsoft Translator: Cross-platform (web application) SaaS: No fee required: Final: No: 100+ Statistical and neural machine translation: Moses: Cross-platform: LGPL: No fee required: 4.0 [6] Yes
The Microsoft Translator is a cloud-based automatic translation service that can be used to build applications, websites, and tools requiring multi-language support. Text translation: The Microsoft Translator Text API can be used to translate text into any of the languages supported by the service.
Bing Translator is a user facing translation portal provided by Microsoft to translate texts or entire web pages into different languages. All translation pairs are powered by the Microsoft Translator , a statistical machine translation platform and web service, developed by Microsoft Research , as its backend translation software.
Microsoft continues to build out Bing Translator with a new language: Star Trek's Klingon. Now, users can translate between Klingon and the other 41 languages Bing Translator supports. In a ...
In the Foreign Service Institute’s language classification system, the most difficult languages are at Category 5. These take 88 weeks or 2,200 hours of classroom time to reach proficiency.
Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian. Since its founding Reverso has ...
Generative language models are not trained on the translation task, let alone on a parallel dataset. Instead, they are trained on a language modeling objective, such as predicting the next word in a sequence drawn from a large dataset of text. This dataset can contain documents in many languages, but is in practice dominated by English text. [36]
In this approach, the source language, i.e. the text to be translated, was transformed into an interlingual language, i.e. a "language neutral" representation that is independent of any language. The target language was then generated out of the interlingua. The only interlingual machine translation system that was made operational at the ...