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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.
The Bible is the most translated book in the world, with more translations (including an increasing number of sign languages) being produced annually.Many are translated and published with the aid of a global fellowship of around 150 Bible Societies which collectively form The United Bible Societies.
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]
However, the Hebrew translation left in place references to bacon despite reader complaints that such products violated the laws of Kashrut, with the translator justifying it on the basis that the characters were not Jewish. [95] The Chinese translation keeps the word "cornflakes" and has a footnote explaining what cornflakes are. [244]
The first Sinhalese translation of the Tirukkural was made by Govokgada Misihamy, [2] with the assistance of S. Thambaiah, in 1961 under the title Thiruvalluvar's Kural, who considered his translation an 'adaptation' rather than a translation for he believed that no translation of any classic into a foreign language can do justice to the original.
The Church Missionary Society undertook a new translation, known as the Cotta version, in 1833. [1]: 49 The Baptist missionaries produced their own translation, which appeared in print between 1859 and 1876. [1]: 52 To match the Revised Version of the Bible, the Sinhalese translation was revised between 1895 and 1910. [2]
A famous mistranslation of a Biblical text is the rendering of the Hebrew word קֶרֶן (keren), which has several meanings, as "horn" in a context where it more plausibly means "beam of light": as a result, for centuries artists, including sculptor Michelangelo, have rendered Moses the Lawgiver with horns growing from his forehead.
Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation.
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