👩‍🏫 Advanced NLP with spaCy: A free online course

👑 spaCy building blocks and visualizers for Streamlit apps

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

CKIP Transformers

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

Cantonese Linguistics and NLP

State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.

CKIP CoreNLP Toolkits

Named Entity Recognition with Pretrained XLM-RoBERTa

Khmer language processing toolkit

A Transformer-based natural language processing toolkit for (modern) Greek.

A Tensorflow 2, Keras implementation of POS tagging using Bidirectional LSTM-CRF on Penn Treebank corpus (WSJ)

Zero-shot Transfer Learning from English to Arabic

A Keras implementation of a deep learning network to simultaneously perform Word Segmentation and Part-of-Speech (POS) Tagging introduced by Bouy et al. in the paper Joint Khmer Word Segmentation and Part-of-Speech Tagging Using Deep Learning.

A Natural Language Processing toolkit for sequence labeling in its simplest form.

Official Repository for the paper titled "Meta-Learning for Effective Multi-task and Multilingual Modelling" accepted at EACL 2021

Dependency Parsing library

Extreme Extractive Text Summarization and Topic Modeling (using LSA and LDA techniques) over Reddit Posts from TLDRHQ dataset.

My exploration into natural language processing in Old English

POSIT aims to segment and tag mixed-text that contains English and C-like code, such that the user both knows what a token is, and within the language it's used in, what role, such as an AST tag or PoS tag, it serves.