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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]
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]
Yandex Translate (Russian: Яндекс Переводчик, romanized: Yandeks Perevodchik) is a web service provided by Yandex, intended for the translation of web pages into another language. The service uses a self-learning statistical machine translation , [ 3 ] developed by Yandex. [ 4 ]
Google added a Hindi dictionary from Rajpal & Sons licensed via Oxford Dictionaries which also supported transliteration and translation to the service in April 2017. [ 19 ] In July 2017, the dictionary was made directly available by typing "dictionary" in Google Search and additional features such as a search box, autocomplete and search ...
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 .
English is the most widely used language on the internet, and this is a further impetus to the use of Hinglish online by native Hindi speakers, especially among the youth. Google's Gboard mobile keyboard app gives an option of Hinglish as a typing language where one can type a Hindi sentence in the Roman script and suggestions will be Hindi ...
There are many consistent or standardized romanization systems. They can be classified by their characteristics. A particular system's characteristics may make it better-suited for various, sometimes contradictory applications, including document retrieval, linguistic analysis, easy readability, faithful representation of pronunciation.
ISO 9:1995 (Transliteration of Cyrillic characters into Latin characters — Slavic and non-Slavic languages); ISO 233-2:1993 (Transliteration of Arabic characters into Latin characters — Part 2: Arabic language — Simplified transliteration)