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2. Comparison of machine translation applications - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_machine...

   The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.

3. Babylon (software) - Wikipedia

   en.wikipedia.org/wiki/Babylon_(software)

   It is a tool used for translation and conversion of currencies, measurements and time, and for obtaining other contextual information. The program also uses a text-to-speech agent, so users hear the proper pronunciation of words and text. Babylon has developed 36 English-based proprietary dictionaries in 21 languages.

4. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]

5. Babylon translator - Wikipedia

   en.wikipedia.org/?title=Babylon_translator&...

   This page was last edited on 22 October 2021, at 17:18 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

6. Rule-based machine translation - Wikipedia

   en.wikipedia.org/wiki/Rule-based_machine_translation

   Minimally, to get a German translation of this English sentence one needs: A dictionary that will map each English word to an appropriate German word. Rules representing regular English sentence structure. Rules representing regular German sentence structure. And finally, we need rules according to which one can relate these two structures ...

7. Transfer-based machine translation - Wikipedia

   en.wikipedia.org/wiki/Transfer-based_machine...

   The translation is generated from this representation using both bilingual dictionaries and grammatical rules. It is possible with this translation strategy to obtain fairly high quality translations, with accuracy in the region of 90% [vague] (although this is highly dependent on the language pair in question, for example the distance between ...

8. Pope used vulgar Italian word to refer to LGBT people ...

   www.aol.com/news/pope-used-vulgar-italian-word...

   Pope Francis used a highly derogatory term towards the LGBT community as he reiterated in a closed-door meeting with Italian bishops that gay people should not be allowed to become priests ...

9. Google Neural Machine Translation - Wikipedia

   en.wikipedia.org/wiki/Google_Neural_Machine...

   Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...