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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 ]
Mobile translation may include a number of useful features, auxiliary to text translation which forms the basis of the service. While the user can input text using the device keyboard, they can also use pre-existing text in the form of email or SMS messages received on the user's device (email/SMS translation).
MeCab is an open-source text segmentation library for Japanese written text. It was originally developed by the Nara Institute of Science and Technology and is maintained by Taku Kudou (工藤拓) as part of his work on the Google Japanese Input project.
Google is showing off Translatotron, a first-of-its-kind translation model that can directly convert speech from one language into another while maintaining a speaker's voice and cadence.
Google Japanese Input (Google 日本語入力, Gūguru Nihongo Nyūryoku) is an input method published by Google for the entry of Japanese text on a computer. Since its dictionaries are generated automatically from the Internet , it supports typing of personal names , Internet slang, neologisms and related terms.
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 ...
When Google launched its new Assistant for the Pixel 4, the voice AI could only speak and understand one language: English. The tech giant rolled out support for other English variants (UK, Canada ...
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. These methods have since been superseded by neural machine translation [1] and large language models ...