Popular GitHub Repositories for Lemmatization

Persian NLP Toolkit

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

Machine-readable lists of lemma-token pairs in 23 languages.

NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

R package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based on the UDPipe Natural Language Processing Toolkit

This repository consists of all my NLP Projects

[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset

Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.

POS Tagger, lemmatizer and stemmer for french language in javascript

NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/

Quick Hands-On NLTK tutorial for NLP in Python. NLTK is one of the most popular Python packages for Natural Language Processing (NLP). Easy to Start for Anyone.

A system that analyzes the tone of texts and statements.

A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

NLP Preprocessing Pipeline Wrappers

The examples I prepared and brought together about the natural language processing topics I learned.

NLP tutorials and guidelines to learn efficiently

Using distibuctional semantics (word2vec family algorithms and the CADE framework) to learn word embeddings from the Italian literary corpuses we generated.

This Chatbot completed with combination of Deep Learning, Natural Language Toolkit(NLTK), PyTorch mode. And highest accuracy achieved here.

Analysed syntax and Semantics of Corpus of Text Documents Retrieved from Web Scraping of News articles from Inshorts and followed the Standard NLP Workflow of the CRISP-DM model.

Research code used to implement SoTA joint morphological taggers and lemmatizers in context. Reproduction and extension of the SIGMORPHON/CONLL 2019 Shared Task 2.