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C-DAC is an India based government software company which is involved in developing language related software. It is best known for developing InScript Keyboard, the standard keyboard for Indian languages. It has also developed lot of Indic language solutions including Word Processors, typing tools, text to speech software, OCR in Indian ...
3NF—third normal form; 386—Intel 80386 processor; 486—Intel 80486 processor; 4B5BLF—4-bit 5-bit local fiber; 4GL—fourth-generation programming language; 4NF—fourth normal form; 5GL—fifth-generation programming language; 5NF—fifth normal form; 6NF—sixth normal form; 8B10BLF—8-bit 10-bit local fiber; 802.11—wireless LAN
Also simply application or app. Computer software designed to perform a group of coordinated functions, tasks, or activities for the benefit of the user. Common examples of applications include word processors, spreadsheets, accounting applications, web browsers, media players, aeronautical flight simulators, console games, and photo editors. This contrasts with system software, which is ...
Azhagi is the first successful Tamil transliteration tool [6] which has many users throughout the world. Azhagi helps the user to create and edit contents in several Indian languages including Tamil, Hindi, Sanskrit, Telugu, Kannada, Malayalam, Marathi, Konkani, Gujarati, Bengali, Punjabi, Oriya and Assamese without having to know how to type in these languages.
A computer which may be used to provide services to clients. software Any computer program or other kind of information that can be read and/or written by a computer. single in-line memory module (SIMM) A type of memory module containing random-access memory used in computers from the early 1980s to the late 1990s. Contrast DIMM. solid-state drive
Weblate is an open source web-based translation tool with version control. It includes several hundred languages with basic definitions, and enables the addition of more language definitions, all definitions can be edited by the web community or a defined set of people, as well as through integrating machine translation, such as DeepL Translator, Amazon Translate, or Google Translate.
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Word-sense disambiguation concerns finding a suitable translation when a word can have more than one meaning. The problem was first raised in the 1950s by Yehoshua Bar-Hillel. [33] He pointed out that without a "universal encyclopedia", a machine would never be able to distinguish between the two meanings of a word. [34]
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