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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 ]
Google's service for Indic languages was first launched as an online text editor, Google Indic Transliteration, designed to allow users to input text in native scripts using Latin characters. Due to the increasing demand for such tools across multiple language groups, it expanded its support to other scripts and was later renamed simply Google ...
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.
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.
The diagram displays the steps that Apertium takes to translate a source-language text (the text we want to translate) into a target-language text (the translated text). Source language text is passed into Apertium for translation. The deformatter removes formatting markup (HTML, RTF, etc.) that should be kept in place but not translated.
However, the Google Translation Toolkit turned out to be a less ambitious product: "document rather than project-based, intended not as a process management package but simply another personal translation memory tool". [3] Originally the Google Translator Toolkit was meant to attract collaboratively minded people, such as those who translate ...
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"The Accuracy of Google Translate for Abstracting Data From Non–English-Language Trials for Systematic Reviews". Annals of Internal Medicine. 171 (9): 677. doi:10.7326/M19-0891. ISSN 0003-4819. DuBose, Joy (3 October 2019). "Russian, Japanese, and Latin Oh My! Using Technology to Catalog Non-English Language Titles".
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