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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.
Languages features comparison. 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.
Neural machine translation. Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. It is the dominant approach today [1]: 293 [2]: 1 and can produce translations that rival ...
DeepL, the Germany-based startup that’s been leading the way on AI translation technology, yesterday released its next-generation model. The company was valued at $2 billion in a recent funding ...
Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [ 12 ] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [ 12 ] The input text had to be translated into English first ...
Kural translations by language. v. t. e. Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages. Early approaches were mostly rule-based or statistical.
Arabic translation efforts and techniques are important to Western translation traditions due to centuries of close contacts and exchanges. Especially after the Renaissance, Europeans began more intensive study of Arabic and Persian translations of classical works as well as scientific and philosophical works of Arab and oriental origins ...
Arabic is one of the major languages that have been given attention by machine translation (MT) researchers since the very early days of MT and specifically in the U.S. The language has always been considered "due to its morphological, syntactic, phonetic and phonological properties [to be] one of the most difficult languages for written and spoken language processing."