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.

Qutuf (قُطُوْف): An Arabic Morphological analyzer and Part-Of-Speech tagger as an Expert System.

🍊 📄 Text Mining add-on for Orange3

A novel stemmer for the Ukrainian language trained with AI

Two-part information retrieval system: 1) Pre-process text files, generate TF-IDF matrix and inverted index. 2) Retrieve relevant documents ranked by cosine similarity for given queries.

Natural language toolkit for Indonesian Language (Bahasa)

A small modification of the stemmer for the Ukrainian language (https://github.com/Amice13/ukr_stemmer)

Arabic Light stemming with Python

A simple experiment with text summarization in Python

Plotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic visual interaction.

Inverted Index, Query Formulation and Ranking from Scratch in Python

Implementation of Martin Porter's stemmer

Turkish Morphological Analyzer with dictionaries for stems and suffixes + Neural Morphological Disambiguation implemented in DyNet

Performs tokenization, stemming, lemmatization, index creation, index compression and ranked retrieval of Cranfield documents

This project provides a website that allows users to analyze real-time tweets from Twitter based on a specific hashtag. The website includes a tweet sentiment analyzer to determine the sentiment (positive, negative, or neutral) of the collected tweets.

Contains some basic primitive implementations of NLP concepts.

Global NIPS Paper Implementation Challenge - An Automated System for Essay Scoring of Online Exams in Arabic based on Stemming Techniques and Levenshtein Edit Operations

A simple python based Urdu stemmer which tries to find a stem word from a list of affixes.

Small code snippets written in Python covering fundamental concepts in NLP used in all major NLP projects.