The most popular spellchecking library.
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Updated
Aug 11, 2024 - C++
The most popular spellchecking library.
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.
This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.
This repository consists of all my NLP Projects
Qutuf (قُطُوْف): An Arabic Morphological analyzer and Part-Of-Speech tagger as an Expert System.
Fast Porter stemmer implementation
🍊 📄 Text Mining add-on for Orange3
Topic modelling on financial news with Natural Language Processing
Beagle helps you identify keywords, phrases, regexes, and complex search queries of interest in streams of text documents.
Porter stemming library (C++)
This is my Artificial Intelligence Project in which we build AI Contextual Chatbot
Javascript libraries to process text: Arabic, Japanese, etc.
Stemmer for German
Tools for fast text stemming & lemmatization
Indonesian stemmer - Pustaka JavaScript untuk mengambil kata dasar dari kata berimbuhan pada bahasa Indonesia.
Монгол үгийн алдаа шалгах толь, Mongolian spellchecking dictionary
POS Tagger, lemmatizer and stemmer for french language in javascript
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.
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