Search results
Results From The WOW.Com Content Network
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]
In order to translate the text, the computer first compares it to a database of words. The computer then compares the text to the base language models, trying to determine the meaning of an expression in the context of the text. In September 2017, Yandex.Translate switched to a hybrid approach incorporating both statistical machine translation ...
Bhashini is an Indian government project developed by Ministry of Electronics and Information Technology under its "National Language Translation Mission." It aims to help Indian citizens translate content in various Indian languages and enable effective communication among different-language speakers across India, and thus reduce the language barrier in India.
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 ]
In translation, a source text (ST) is a text written in a given source language which is to be, or has been, translated into another language, while a target text (TT) is a translated text written in the intended target language, which is the result of a translation from a given source text.
BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human: "the closer a machine translation is to a professional human translation, the better it is" – this is the central idea behind BLEU.
The content translation tool assists users in translating existing Wikipedia articles from one language to another. Users select an article in any language, then select another language, and the interface provides machine translation which the human user can then use as inspiration to make readable text in another language.
It is also detrimental to search engines, which do not classify Hindi text in the Roman script as Hindi. The same text may also not be classified as English. Regardless of the physical keyboard's layout, it is possible to install Unicode-based Hindi keyboard layouts on most modern operating systems.