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translatewiki.net, formerly named Betawiki, is a web-based translation platform [1] powered by the Translate extension for MediaWiki.It can be used to translate various kinds of texts but is commonly used for creating localisations for software interfaces.
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.
DeepL for Windows translating from Polish to French. The translator can be used for free with a limit of 1,500 characters per translation. Microsoft Word and PowerPoint files in Office Open XML file formats (.docx and .pptx) and PDF files up to 5MB in size can also be translated.
Each table is arranged alphabetically by the specific work, then by the language of the translation. Translations are then sub-arranged by date of publication (earliest-latest). Where possible, the date of publication given is the date of the first edition by that translator. More modern editions/versions may be available.
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.
Open Language Tools consist of the XLIFF Filters designed to convert different source file formats to XLIFF and the XLIFF Translation Editor which is designed to read and edit XLIFF files. They are written in Java and run on Windows , Mac OS , or Linux as long as Java J2RE (at least 1.4.2) is installed.
A number of Latin translations of modern literature have been made to bolster interest in the language. The perceived dryness of classical literature is sometimes a major obstacle for achieving fluency in reading Latin , as it discourages students from reading large quantities of text ( extensive reading ).
Reverso has been active since 1998, with the aim of providing online translation and linguistic tools to corporate and mass markets. [3] [4] In 2013 it released Reverso Context, a bilingual dictionary tool based on big data and machine learning algorithms. [5] In 2016 Reverso acquired Fleex, a service for learning English via subtitled movies.