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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 ]
DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL .
Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances, grammar and spell checking and conjugation tools.
In addition to translation, the new version features transliteration and a bilingual dictionary to look up words to find alternative translations and view examples in sentences. [7] Speech translation was integrated into Microsoft Speech services in September 2018, providing end-to-end speech, speech-to-text, and text-to-speech translation.
Weblate is an open source web-based translation tool with version control. It includes several hundred languages with basic definitions, and enables the addition of more language definitions, all definitions can be edited by the web community or a defined set of people, as well as through integrating machine translation, such as DeepL, Amazon Translate, or Google Translate.
photo text translation feature (uses its own OCR (optical character recognition) technology) – in apps for mobile phones; [12] the "Suggest translation" button (user patches to help improve the quality of machine translations); the "Favorites" section, where you can add translations of individual words and sentences; virtual keyboard.
GNMT attempts to translate whole sentences at a time, rather than just piece by piece. [1] The GNMT network can undertake interlingual machine translation by encoding the semantics of the sentence, rather than by memorizing phrase-to-phrase translations. [2] [11]
MateCat ("Machine Translation Enhanced Computer Assisted Translation") is a 3-year research project (Nov 2011 – Oct 2014) funded by the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement No. 287688. [1] It has received over €2,500,000 of European funds. [2]
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