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Microsoft.Recognizers.Text.Number provides robust recognition and resolution of numbers expressed in English, Spanish, French, Portuguese, Chinese, German, Dutch, Japanese, Italian, Turkish, Swedish, and Hindi.

v1.8.13

↙ 7.7M / total

nlpentity-extractionparser-libraryrecognizernumex

pkg

Microsoft.Recognizers.Text.NumberWithUnit✓

Microsoft.Recognizers.Text.NumberWithUnit provides robust recognition and resolution of numbers with units expressed in English, Spanish, French, Portuguese, Chinese, German, Dutch, Italian, Turkish, and Hindi.

v1.8.13

↙ 7.5M / total

nlpentity-extractionparser-libraryrecognizernumex

pkg

Microsoft.Recognizers.Text.DateTime✓

Microsoft.Recognizers.Text.DateTime provides robust recognition and resolution of Date and Time expressed in English, Spanish, French, Portuguese, Chinese, German, Italian, and Turkish.

v1.8.13

↙ 7.4M / total

nlpentity-extractionparser-libraryrecognizerdate

pkg

Microsoft.Recognizers.Text.DataTypes.TimexExpression✓

Microsoft.Recognizers.Text.DataTypes.TimexExpression provides parsing and evaluation of TIMEX expressions.

v1.8.13

↙ 7.4M / total

nlpentity-extractionparser-libraryrecognizertimex

Stanford.NLP.CoreNLP

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.

v4.5.0

↙ 531.8K / total

nlpstanfordCoreNLPPOSNER

pkg

Microsoft.Recognizers.Text.Choice✓

Microsoft.Recognizers.Text.Choice provides recognition of Boolean (yes/no) answers expressed in English, Portuguese, Spanish, Japanese, Chinese, Dutch, French, German, Italian, Swedish, Bulgarian, Turkish, Hindi, and Arabic. As well as base classes to support lists of alternative choices.

v1.8.13

↙ 5.7M / total

nlpentity-extractionparser-libraryrecognizerboolean

pkg

CherubNLP

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

v0.5.0

↙ 588.6K / total

NLP

DetectiveAI

The 'DetectiveAI' library provides a robust AI-generated text detection service. It leverages multiple advanced analysis techniques to assess the likelihood of a given text being AI-generated. The service provides a probability score between 0 and 1, with 0 indicating a lower probability and 1 indicating a higher probability of AI authorship.

v1.0.0

↙ 3.6M / total

AIDetectionTextAnalysisNatural

pkg

OpenNLP

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

v1.3.5

↙ 235.7K / total

NLPNaturalLanguageProcessing

pkg

Microsoft.Recognizers.Text.Sequence✓

Microsoft.Recognizers.Text.Sequence provides robust recognition and resolution of series entities like phone numbers, URLs, and e-mail and IP addresses.

v1.8.13

↙ 2.3M / total

nlpentity-extractionparser-libraryrecognizerphonenumber

TencentCloudSDK.Nlp

Tencent Cloud API 3.0 SDK for .NET

v3.0.1375

↙ 470.9K / total

Betalgo.OpenAI

Dotnet SDK for OpenAI ChatGPT, Whisper, GPT-4 and DALL·E

v8.7.2

↙ 1.9M / total

openAIchatGPTgpt-4gpt-3DALL·E

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. You can install language-specific models with the model packages Catalyst.Models.[Language], like: Catalyst.Models.English.

v1.0.64863

↙ 1.9M / total

NaturalLanguageProcessingNLPSpacy

OpenNLP.NET

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.

v1.9.4.1

↙ 139.8K / total

NLPOpenNLPTokenizerCategorizerChunker

pkg

AboditNLP

This is the core package for the Abodit NLP natural language engine

v4.2.8

↙ 258.5K / total

Catalyst.Models.English

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.

v1.0.30952

↙ 1.2M / total

EnglishNaturalLanguageProcessingNLP

Stanford.NLP.NER

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.

v4.2.0.2

↙ 116.0K / total

nlpstanfordNERCRFIKVM

Stanford.NLP.POSTagger

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'.

v4.2.0.2

↙ 88.0K / total

nlpstanfordPOStaggerPart-Of-Speech

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