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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's service for Indic languages was first launched as an online text editor, Google Indic Transliteration, designed to allow users to input text in native scripts using Latin characters. Due to the increasing demand for such tools across multiple language groups, it expanded its support to other scripts and was later renamed simply Google ...
The Toolkit began in June 2009 with only one source language—English—and forty-seven target languages, but later support 345 source languages and 345 target languages for approximately 100,000 language pairs. [6] Google Translator Toolkit's user interface was available in eighty-five languages: [7]
One drawback of this software is that if mixed English–Hindi dictation is given, it can recognize Hindi words but can not recognize English words. Another variant of this software is Vachantar-Rajbhasha, which takes English sound as input, converts it to English text and then translates it to Hindi using MANTRA-Rajbhasha translation engine.
Part of a series on: Translation; Types; Legal; Literary; Bible; Quran; Kural; Linguistic validation; Medical; Regulatory; Technical; Interpretation; Cultural; Word ...
Indic Computing means "computing in Indic", i.e., Indian Scripts and Languages.It involves developing software in Indic Scripts/languages, Input methods, Localization of computer applications, web development, Database Management, Spell checkers, Speech to Text and Text to Speech applications and OCR in Indian languages.
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 .
Hinglish refers to the non-standardised Romanised Hindi used online, and especially on social media. In India, Romanised Hindi is the dominant form of expression online. In an analysis of YouTube comments, Palakodety et al., identified that 52% of comments were in Romanised Hindi, 46% in English, and 1% in Devanagari Hindi. [21]