Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
The repo containing the Critical Role Dungeons and Dragons Dataset.
:pencil2: Hunspell extension for spaCy 2.0.
A Python implementation of the SimString, a simple and efficient algorithm for approximate string matching.
Social Analysis based on Whatsapp data
人工智能论文关键点集结。This project aims to collect key points of AI papers.
A Pytorch implementation of QANet
Arabic edition of BERT pretrained language models
Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.
Natural Language Processing Library for Turkish in C#
This repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.
State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).