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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 ]
Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...
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.
The service also contains pronunciation audio, Google Translate, a word origin chart, Ngram Viewer, and word games, among other features for the English-language version. [4] [5] Originally available as a standalone service, it was integrated into Google Search, with the separate service discontinued in August 2011.
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
Translingual Information Detection, Extraction and Summarization (TIDES) is a technology development program funded by the U.S. Defense Advanced Research Projects Agency , focused on the automated processing and understanding of language data. The primary goal of the program is to enable English speakers to locate and interpret required ...
This method can detect multiple languages in an unstructured piece of text and works robustly on short texts of only a few words: something that the n-gram approaches struggle with. An older statistical method by Grefenstette was based on the prevalence of certain function words (e.g., "the" in English).
An IETF BCP 47 language tag is a standardized code that is used to identify human languages on the Internet. [1] The tag structure has been standardized by the Internet Engineering Task Force (IETF) [1] in Best Current Practice (BCP) 47; [1] the subtags are maintained by the IANA Language Subtag Registry.
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