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Showing 3 open source projects for "labeling"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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bnf2xml
simple BNF parser makes xml markup of matches
bnf2xml a simple BNF parser that takes text as input, searches according to a BNF query file, and outputs text marked up by the xml labels that show context. bnf2xml is as simple to use as any text binary ie, awk(1) grep(1). bnf2xml does not require C API because it outputs simple xml labeling. README is visible on file dl page. EXAMPLE: $ echo "hi" | bnf2xml patternfile <word><alph>h</alph><alph>i</alph></word> or <gas>hydrogen iodide</gas> patternfile says how to find needle in haystack and what to show, ie: <alph> ::= a | b | c | d ... <word> ::= <alph>+ bnf2xml is a top down recursive parser. ... -
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Pocket CRF is a modified version of CRF++, it maintains the simplicity of CRF++ and is able to use high order features. Pocket M3N is a simple Max Margin Markov Networks package for sequence labeling tasks.
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FlexCRFs: A Flexible Conditional Random Fields Toolkit for Labeling and Segmenting Sequence Data (this includes a parallel implementation of CRFs called PCRFs to support training CRF models on massively parallel computer systems).
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