Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, and mark up the structure of...
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A Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc., although generally computational applications use more fine-grained POS tags like 'noun-plural'.
A natural language parser is a program that works out the grammatical structure of sentences, for instance, which groups of words go together (as \"phrases\") and which words are the subject or object of a verb. Probabilistic parsers use knowledge of language gained from hand-parsed sentences to try...
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The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks...
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API for payment transactions. MicroPos for desktop applications.
This is obsolete. Please upgrade to https://www.nuget.org/packages/MicroPos.Desktop.Pack/
Documentation, demo projects and how to use: https://github.com/stone-pagamentos/stone-micropos-sample
Extension of imbNLP libraries, introducing support for MULTEXT-East morphosyntactic dictionary and pipeline framework for parallel web content decomposition and POS tagging
.NET Standard 2.0 Implementation of ESC/POS command generation and integration with thermal printers.
Allows creating receipts with all common functionality supported.
Components for Xon/Xoff POS Protocols and Olivetti Ela Execute
Tecnosoftware components are free to use, developed by qualified teams, with no use limitation and unlimited number of installations.
If you wish to support Tecnosoftware components development or simply make a donation,...
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MaltParser is a system for data-driven dependency parsing, which can be used to induce a parsing model from treebank data and to parse new data using an induced model.
