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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] The input text had to be translated into English first ...
Indonesian (Bahasa Indonesia; [baˈhasa indoˈnesija]) is the official and national language of Indonesia. [ 9 ] It is a standardized variety of Malay, [ 10 ] an Austronesian language that has been used as a lingua franca in the multilingual Indonesian archipelago for centuries.
This table lists all two-letter codes (set 1), one per language for ISO 639 macrolanguage, and some of the three-letter codes of the other sets, formerly parts 2 and 3. Entries in the Scope column distinguish: The Type column distinguishes: Language formed from English and Vanuatuan languages, with some French influence.
This page in a nutshell: The Content translation tool is a beta feature that provides a framework for translating pages from one Wikipedia to another. Both the software and the community expectations for this tool are still under development. The content translation tool assists users in translating existing Wikipedia articles from one language ...
The Indonesian Wikipedia is the fifth-fastest-growing Wikipedia in an Asian language after the Japanese, Chinese, Korean, and Turkish language Wikipedias. It ranks 25th in terms of depth among Wikipedias. Its first article was written on 30 May 2003, [1][2] yet its Main Page was created six months later on 29 November 2003.
Word derivation and compounds. Indonesian and (Standard Malaysian) Malay have similar derivation and compounds rule. However, there is difference on quasi-past participle or participle-like adjective when attached to a noun or verb. (Standard Malaysian) Malay uses prefix ber- to denote such, while Indonesian uses prefix ter- to do so.
v. t. e. Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate. [1][2][3][4] The neural network consisted of two main blocks, an encoder and a decoder, both of LSTM ...
Languages features comparison. 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.