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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]
Hindi–Urdu transliteration (or Hindustani transliteration) is essential for Hindustani speakers to understand each other's text, and it is especially important considering that the underlying language of both the Hindi & Urdu registers are almost the same. [4]
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 ]
The Microsoft Translator is a cloud-based automatic translation service that can be used to build applications, websites, and tools requiring multi-language support. Text translation: The Microsoft Translator Text API can be used to translate text into any of the languages supported by the service.
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 reception of DeepL Translator has been generally positive. TechCrunch appreciates it for the accuracy of its translations and stating that it was more accurate and nuanced than Google Translate. [3] Le Monde thank its developers for translating French text into more "French-sounding" expressions. [38]
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.
Transliteration, which adapts written form without altering the pronunciation when spoken out, is opposed to letter transcription, which is a letter by letter conversion of one language into another writing system. Still, most systems of transliteration map the letters of the source script to letters pronounced similarly in the target script ...