NLP

Core

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Builtin Named Entity Recognition with Microsoft Recognizers

Excel tables reader

emoji

Builtin Named Entity Recognition with Duckling

Parse partial JSON generated by LLM

NLP Functions for amplifying negations, managing elisions, creating ngrams, stems, phonetic codes to tokens and more.

Tokenize a string.

JavaScript implementation of Japanese morphological analyzer

modest natural language processing

recognizers-text-number provides robust recognition and resolution of numbers expressed in multiple languages.

recognizers-text provides base classes for robust recognition and resolution of text entities.

Split a string into an array of sentences.

A module for node.js and the browser that takes in text and returns text that is stripped of stopwords. Has pre-defined stopword lists for 62 languages and also takes lists with custom stopwords as input.

split {japanese, english} text into sentences.

POS Tagger and lemmatizer for javascript

redirect dummy-package for nlp_compromise package

The pluggable linting tool for natural language.

recognizers-text-choice provides recognition of Boolean (yes/no) answers expressed in multiple languages, as well as base classes to support lists of alternative choices.

recognizers-text-suite provides robust recognition and resolution of numbers, units, date/time, and more; expressed in multiple languages.

recognizers-text provides robust recognition and resolution of date/time expressed in multiple languages.

recognizers-text-number-with-unit provides robust recognition and resolution of numbers with units expressed in multiple languages.

recognizers-text-sequence provides robust recognition and resolution of series entities like phone numbers, URLs, and e-mail and IP addresses.

The hub for natural language processing (nlp) engines. Fork (https://github.com/marcelofelman/nlp-hub.git)

Basic dependencies for node

Console Connector

Logger

Console Connector

Check the text is ends with period mark.

Recall-Oriented Understudy for Gisting Evaluation (ROUGE) Evaluation Functions with TypeScript support

Anonymize-NLP is a lightweight and robust package for text anonymization. It uses Natural Language Processing (NLP) and Regular Expressions (Regex) to identify and mask sensitive information in a string.,

Expand contractions.

Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

| [NPM Package](https://www.npmjs.com/package/@mlc-ai/web-tokenizers) | [WebLLM](https://github.com/mlc-ai/web-llm) |