NLP

A collection of Windows prompts.

C# port of the Java OpenNLP tools retrieved from http://sharpnlp.codeplex.com/ (it's not mine!)

Botsharp.NLP is a set of tools for building C# programs to work with human language data. It can be used in common tasks like POS, NER and text classification in the NLP or NLU field. BotSharp.NLP has implemented below machine learning algorithms: Conditional Random Field (CRF) Support Vector Machine (SVM) N-Gram Tagger Regex Tokenizer Naive Bayes Classifier

A portable WordNet Engine that can fastly loads WordNet lexical database files and allows multiple SynSet operations for semantic analysis. WordNet® is a registered trademark of Princeton University.

Package Description

This package is Japanese morphological analysis library NMeCab. It was developed on .NET (C#), with reference to MeCab (developed in C++). This does not include a binary dictionary, so you need preparing it sepalatary.

DataStructure library

Package Description

.NET Port of Language Detection Library for Java

Package Description

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 sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. Stanford CoreNLP is an integrated framework, which make it very easy to apply a bunch of language analysis tools to a piece of text. Starting from plain text, you can run all the tools on it with just two lines of code. Its analyses provide the foundational building blocks for higher-level and domain-specific text understanding applications.

This package is binary compiled dictionary data IPAdic for Japanese morphological analysis library NMeCab.

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SharpNL is an independent reimplementation of the Apache OpenNLP software library.

Package Description

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 order) implementation of linear chain Conditional Random Field (CRF) sequence models, coupled with well-engineered feature extractors for Named Entity Recognition.

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 are usually required to build more advanced text processing services. OpenNLP also included maximum entropy and perceptron based machine learning.

Package Description

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 to produce the most likely analysis of new sentences.

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'.

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)

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Package Description

F# extensions for Stanford.NLP.Parser

An official SIML (Synthetic Intelligence Markup Language) interpreter for .Net Framework. This is a Portable Class Library and can target multiple platforms. Using this library developers can easily create intelligent Chatbots or integrate Artificial Intelligence and Natural Language Processing to their .Net and Mono applications.

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Morfologik Finite State Automata Traversal. Morfologik is a project aiming at generating Polish morphosyntactic dictionaries (hence the name) used for part-of-speech tagging and part-of-speech synthesis.

Morfologik Stemming Library. Morfologik is a project aiming at generating Polish morphosyntactic dictionaries (hence the name) used for part-of-speech tagging and part-of-speech synthesis.

Package Description

Microsoft.Recognizers.Text provides base classes for robust recognition and resolution of text entities. This is exact same library as the Microsoft.Recognizers.* packages, but with compiled Regex.

Alibaba Cloud SDK for .NET

This package contains the default English models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

.NET text analysis tool. Tokenize, Stemming and Lemmatization.

This package contains the default French models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

This package contains the default Spanish models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Microsoft.Recognizers.Text.DateTime provides robust recognition and resolution of Date and Time expressed in English, Spanish, French, Portuguese, Chinese, German, Italian, and Turkish. This is exact same library as the Microsoft.Recognizers.* packages, but with compiled Regex.

This package contains the default Portuguese models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

This package contains the default Italian models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

This package contains the default Czech models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

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.

This package contains the default Chinese models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

This package contains the default Dutch models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

This package contains the default Danish models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Package Description

This package contains the default Norwegian models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

This package contains the default Catalan models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

This package contains the default Russian models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy"s design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.