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Pages in category "Spanish–Romanian translators" The following 8 pages are in this category, out of 8 total. This list may not reflect recent changes. B.
Similarly, Spanish oreja, Portuguese orelha, French oreille, Romanian ureche, and Sardinian olícra, orícla "ear" must derive from ōric(u)la rather than Classical auris (Occitan aurelha was probably influenced by the unrelated ausir < audīre "to hear"), and the form oricla is in fact reflected in the Appendix Probi.
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]
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.
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. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.
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.
Pages in category "Romanian–Spanish translators" This category contains only the following page. This list may not reflect recent changes. B. Ștefan Baciu
Pipeline of Apertium machine translation system. This is an overall, step-by-step view how Apertium works. The diagram displays the steps that Apertium takes to translate a source-language text (the text we want to translate) into a target-language text (the translated text). Source language text is passed into Apertium for translation.
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