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Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [ 11] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [ 11] The input text had to be translated into English first ...
The new translation engine was first enabled for eight languages: to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish in November 2016. [24] In March 2017, three additional languages were enabled: Russian, Hindi and Vietnamese along with Thai for which support was added later.
In July 2008, Google announced that they had been working with Hindi Wikipedians to translate English language articles into Hindi and had since 2008 translated 600,000 words in Hindi using a combination of Google Translate and manual checking. [13] This coordinated translation contributed to growth for the site. [14]
Google Dictionary. Google Dictionary is an online dictionary service of Google that can be accessed with the " define " operator and other similar phrases [ note 1] in Google Search. [ 2] It is also available in Google Translate and as a Google Chrome extension. The dictionary content is licensed from Oxford University Press 's Oxford Languages ...
Modern Standard Hindi ( आधुनिक मानक हिन्दी, Ādhunik Mānak Hindī), [ 9] commonly referred to as Hindi, is an Indo-Aryan language written in Devanagari script. It is the official language of India alongside English and the lingua franca of North India.
Machine translation (MT) is a process whereby a computer program analyzes a source text and, in principle, produces a target text without human intervention. In reality, however, machine translation typically does involve human intervention, in the form of pre-editing and post-editing. [ 97]
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.
Apertium is a transfer-based machine translation system, which uses finite state transducers for all of its lexical transformations, and Constraint Grammar taggers as well as hidden Markov models or Perceptrons for part-of-speech tagging / word category disambiguation. [2]