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In computer-based language recognition, ANTLR (pronounced antler), or ANother Tool for Language Recognition, is a parser generator that uses a LL(*) algorithm for parsing. ANTLR is the successor to the Purdue Compiler Construction Tool Set ( PCCTS ), first developed in 1989, and is under active development.
This language recognition chart presents a variety of clues one can use to help determine the language in which a text is written. Characters The language of a ...
If you aren't sure of the language being used, you can: Leave the tag as-is. Try translate.google.com or Wiktionary; Ask the editor who added that word to the article in the first place. Find someone who speaks a language this might be; Wikipedia:Language recognition chart can help narrow down the possibilities. Ask on the article's talk page.
The most likely language is the one with the model that is most similar to the model from the text needing to be identified. This approach can be problematic when the input text is in a language for which there is no model. In that case, the method may return another, "most similar" language as its result.
Microsoft Language Portal was a multilingual online dictionary of computing terms. It also offered free downloads of localization style guides, translations of user interface text, and a feedback feature. It was made public in 2009. [1]
The Text Services Framework is designed to offer advanced language and word processing features to applications. It supports features such as multilingual support, keyboard drivers, handwriting recognition, speech recognition, as well as spell checking and other text and natural language processing functions. It is also downloadable for older ...
For some reason, it was moved back here with the strange reason that "it causes some problems as an article". Well it's not an article after all, it's a table or a list anyway. After all, Language recognition chart still links here, which is quite a no-no after all. I suggest moving it back to main as in the discussion above.
This comparison of optical character recognition software includes: OCR engines, that do the actual character identification; Layout analysis software, that divide scanned documents into zones suitable for OCR; Graphical interfaces to one or more OCR engines