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A 2018 paper by the University of Bologna evaluated the Italian-to-German translation capabilities and found the preliminary results to be similar in quality to Google Translate. [42] In September 2021, Slator remarked that the language industry response was more measured than the press and noted that DeepL is still highly regarded by users. [43]
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]
Based on these RNN-based architectures, Baidu launched the "first large-scale NMT system" [23]: 144 in 2015, followed by Google Neural Machine Translation in 2016. [23]: 144 [24] From that year on, neural models also became the prevailing choice in the main machine translation conference Workshop on Statistical Machine Translation. [25]
By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder. [ 10 ] GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [ 2 ]
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Google Dictionary is an online dictionary service of Google that can be accessed with the "define" operator and other similar phrases [note 1] in Google Search. [2] It is also available in Google Translate and as a Google Chrome extension. The dictionary content is licensed from Oxford University Press's Oxford Languages. [3]
The Diccionario de la lengua española [a] (DLE; [b] English: Dictionary of the Spanish language) is the authoritative dictionary of the Spanish language. [1] It is produced, edited, and published by the Royal Spanish Academy, with the participation of the Association of Academies of the Spanish Language.
The accuracy of Google Translate continues to improve, and in many cases approaches the accuracy of human translation; Use of non-English sources can help counter systemic bias on Wikipedia, which skews to Anglocentric and Eurocentric perspectives; Cons. Accuracy may not be sufficient for all uses, and human translation is still more accurate