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Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [12] 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. [12]
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 toolkit was designed to let translators organize their work and use shared translations, glossaries and translation memories, and was compatible with Microsoft Word, HTML, and other formats. Google Translator Toolkit by default used Google Translate to automatically pre-translate uploaded documents which translators could then improve.
Word-sense disambiguation concerns finding a suitable translation when a word can have more than one meaning. The problem was first raised in the 1950s by Yehoshua Bar-Hillel. [33] He pointed out that without a "universal encyclopedia", a machine would never be able to distinguish between the two meanings of a word. [34]
The computer-tested, unambiguous rules also include grammar for incomplete sentences e.g. for narrative, quotational, or mathematical phrases. Its typology can be said to be basically subject–verb–object and subject–object–verb. However, it can practically have any order: mi prami do (SVO) (I love you) mi do prami (SOV) (By me, you are ...
But there's no way to group two English words producing a single French word. An example of a word-based translation system is the freely available GIZA++ package , which includes the training program for IBM models and HMM model and Model 6. [7] The word-based translation is not widely used today; phrase-based systems are more common.
Romanised Hindi is also used by some newspapers such as The Times of India. [38] [39] The first novel written in this format, All We Need Is Love, was published in 2015. [40] Romanised Hindi has been supported by advertisers in part because it allows a message to be conveyed in a neutral script to both Hindi and Urdu speakers. [41]
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]