👩🏫 Advanced NLP with spaCy: A free online course
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Updated
Aug 30, 2023 - Python
👩🏫 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
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
CKIP Transformers
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
Cantonese Linguistics and NLP
Named Entity Recognition with Pretrained XLM-RoBERTa
State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.
Khmer language processing toolkit
CKIP CoreNLP Toolkits
A Transformer-based natural language processing toolkit for (modern) Greek.
Zero-shot Transfer Learning from English to Arabic
Определение частей речи / Нормализация текста: приведение всех слов к словарной форме в тексте на русском языке
Implementation of state-of-the-art NLP models using transformers for tasks including machine translation, text-summarization, chatbots, and question answering.
[EACL 2021] Self-training Pretrained LMs for Zero- and Few-shot Arabic Sequence Labeling
Official Repository for the paper titled "Meta-Learning for Effective Multi-task and Multilingual Modelling" accepted at EACL 2021
Part of Speech Tagger (POS) for Urdu Language with Hidden Markov Model (HMM) using Kneser-Ney Smoothing
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.
The examples I prepared and brought together about the natural language processing topics I learned.
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