returned for Tags:"stanford"
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...
Stanford NER (also known as CRFClassifier) is a Java implementation of a Named Entity Recognizer. Named Entity Recognition (NER) labels sequences of words in a text which are the names of things, such as person and company names, or gene and protein names. The software provides a general (arbitrary...
Resource package that contains sentiment analysis model for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Simple C# wrapper for Stanford CoreNLP (see project url for details).
Resource package that contains pos tagger for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Resource package that contains lexicalized parser for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Resource package that contains named-entity recognition for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Resource package that contains Open IE model for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
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...
Stanford-password-policy-dotnet is a password validator library for ASP.NET Core.
The Stanford password policy is a dynamic password policy that encourages the use of easy to remember, yet secure passphrases instead of hard to remember passwords.
Resource package that contains parser for SimpleNetNlp project (simple C# wrapper for Stanford CoreNLP).
Tokenization of raw text is a standard pre-processing step for many NLP tasks. For English, tokenization usually involves punctuation splitting and separation of some affixes like possessives. Other languages require more extensive token pre-processing, which is usually called segmentation.
F# Type Provider for Stanford NLP TokensRegex - http://nlp.stanford.edu/software/tokensregex.html
F# extensions for Stanford.NLP.Parser
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'.