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Neologisms in Luxembourgish include both entirely new words, and the attachment of new meanings to old words in everyday speech. The most recent neologisms come from the English language in the fields of telecommunications , computer science , and the Internet .
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]
When Luxembourgish children are first taught to read and write in public schools, it is in German. The language of instruction in public primary school is German. Moreover, Luxembourgish is taught only one hour per week at secondary school and only in the first years. In secondary school, besides German, French and Luxembourgish, English is
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 has been active since 1998, with the aim of providing online translation and linguistic tools to corporate and mass markets. [3] [4] In 2013 it released Reverso Context, a bilingual dictionary tool based on big data and machine learning algorithms. [5] In 2016 Reverso acquired Fleex, a service for learning English via subtitled movies.
Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...
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.
Government websites are primarily written in French, [2] [3] but are also partially translated into Luxembourgish, German and English. In the Chamber of Deputies, bills are first written in German. Then the language of debate is in Luxembourgish, but sometimes also in French (e.g., when laws are cited). Laws are voted and codified in French.