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Machine translation is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one natural language to another. In the 1950s, machine translation became a reality in research, although references to the subject can be found as early as the 17th century.
IBM's Automatic Language Translator was a machine translation system that converted Russian documents into English. It used an optical disc that stored 170,000 word-for-word and statement-for-statement translations and a custom computer to look them up at high speed.
Translation memory tools (TM tools), consisting of a database of text segments in a source language and their translations in one or more target languages. [2] Spell checkers, either built into word processing software, or available as add-on programs. Grammar checkers, either built into word processing software, or available as add-on programs.
Apertium wiki (list of language pairs and licence information) Xerox Easy Translator Service (list of language pairs) Bing Translator Language List; Haitian Creole support in Bing/Microsoft Translator; Microsoft Research: Syntactically Informed Phrasal SMT; List of supported languages in Google Translate
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.
OmegaT is another translation tool that can translate PO files. It is written in Java so it is available for multiple platforms (including Linux and Windows). It can be downloaded from SourceForge. GNU Gettext (Linux/Unix) used for the GNU Translation Project. Gettext also provides msgmerge that makes merging translations easy.
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[47] [48] [49] English-language articles are thought to usually be more comprehensive and less biased than their non-translated equivalents in other languages. [50] As of 2022, English Wikipedia has over 6.5 million articles while the German and Swedish Wikipedias each only have over 2.5 million articles, [51] each often far less comprehensive.
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