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Pseudolocalization (or pseudo-localization) is a software testing method used for testing internationalization aspects of software. Instead of translating the text of the software into a foreign language, as in the process of localization, the textual elements of an application are replaced with an altered version of the original language.
The first Urdu translation of the Kural text was by Hazrat Suhrawardy, a professor of Urdu Department of Jamal Mohammad College, Tiruchirappalli. [1] It was published by Sahitya Academy in 1965, with a reprint in 1994. The translation is in prose and is not a direct translation from Tamil but based on English translations of the original.
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]
Writing a pseudotranslation involves using features that usually indicate to a reader that the text is a translation. As some translators have argued, pseudotranslations can be a way of publishing literature that is stylistically different or critical."
Name Supported File Formats OS Language Widget tool License Across Language Server [2]: Microsoft Word (DOC, DOT, DOCX, and DOCM files), Microsoft Excel (XLS files, and XLSX and XLSM files), Microsoft PowerPoint (PPT and PPS files as well as PPTX, PPSX, and PPTM files), Rich Text Format1 (RTF files), text files (TXT files), TeX (TEX files), HTML, XHTML, XML, SGML, Adobe FrameMaker (in MIF ...
Note that Hindi–Urdu transliteration schemes can be used for Punjabi as well, for Gurmukhi (Eastern Punjabi) to Shahmukhi (Western Punjabi) conversion, since Shahmukhi is a superset of the Urdu alphabet (with 2 extra consonants) and the Gurmukhi script can be easily converted to the Devanagari script.
The GNMT system was said to represent an improvement over the former Google Translate in that it will be able to handle "zero-shot translation", that is it directly translates one language into another. For example, it might be trained just for Japanese-English and Korean-English translation, but can perform Japanese-Korean translation.
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.