returned for Tags:"NLP"
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...
Microsoft.Recognizers.Text provides base classes for robust recognition and resolution of text entities.
Microsoft.Recognizers.Text.Number provides robust recognition and resolution of numbers expressed in English, Spanish, French, Portuguese, Chinese, German, Dutch, and Japanese.
Microsoft.Recognizers.Text.NumberWithUnit provides robust recognition and resolution of numbers with units expressed in English, Spanish, French, Portuguese, Chinese, German, and Dutch.
Microsoft.Recognizers.Text.DateTime provides robust recognition and resolution of Date and Time expressed in English, Spanish, French, Portuguese, and Chinese.
Microsoft.Recognizers.Text.Choice provides recognition of Boolean (yes/no) answers expressed in English, Portuguese, Spanish, and Japanese. As well as base classes to support lists of alternative choices.
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Robust On-Device Bot development framework that supports 2 unique architectures. The framework contains OSCOVA and an official SIML interpreter. This is a platform independent framework and can target multiple platforms. Using the library developers can easily create intelligent Bots or integrate...
Microsoft.Recognizers.Text.Sequence provides robust recognition and resolution of series entities like phone numbers and IP addresses.
Microsoft.Recognizers.Text.DataTypes.TimexExpression provides parsing and evaluation of TIMEX expressions.
.NET Port of Language Detection Library for Java
C# port of the Java OpenNLP tools retrieved from http://sharpnlp.codeplex.com/ (it's not mine!)
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'.
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...
SharpNL is an independent reimplementation of the Apache OpenNLP software library.
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...
Find the english language indeterminate article ('a' or 'an') for a word. Based on real usage patterns extracted from the wikipedia text dump; can therefore even deal with tricky edge cases such as acronyms (FIAT vs. FAA, NASA vs. NSA) and odd symbols. (Requires .NET Core 1.0 or .NET 4.5)
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.
Simple implementation of service calls to www.alchemyAPI.com for natural language processing.
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...