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.
Japanese text normalizer for mecab-neologd
Web scrapping and related analytics using Python tools
Implementation of Chinese ChatGPT
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-...
State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.
LanguageCrunch NLP server docker image
Behemoth is an open source platform for large scale document analysis based on Apache Hadoop.
The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761
NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.
A Repo to store the Google Colaboratory Notebooks that I have created and shared
Python based Open Source ETL tools for file crawling, document processing (text extraction, OCR), content analysis (Entity Extraction & Named Entity R...
spaCy pipeline object for negating concepts in text
A curated list of NLP resources for Hungarian
Agentic AI platform that harnesses Visual LLM Chaining to build proactive digital assistants
Data Science E-books, Interview Resources and Cheat-sheets
PyTorch implementation of batched bi-RNN encoder and attention-decoder.
A Package of Keyphrase Extraction and Social Tag Suggestion
This is a tracking repo for all our AI projects. 🍕 🤖🍼
Tutorial: Natural Language Processing in Python
Deep learning with text doesn't have to be scary.
A web-based document annotation tool, powered by AI :rocket:
Important paper implementations for Question Answering using PyTorch
📛 Fuzzy Name Matching with Machine Learning
Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase...
Fuzzy and semantic search for captioned YouTube videos.
ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A...
A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
Multi-Modal Transformer for Video Retrieval
Code for "Aligning Linguistic Words and Visual Semantic Units for Image Captioning", ACM MM 2019
Implementation of the paper: Text Segmentation as a Supervised Learning Task
🌿 An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.
Implementation of character based convolutional neural network
텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료
Job data mining repo for lagou.com
A Reddit bot that summarizes news articles written in Spanish or English. It uses a custom built algorithm to rank words and sentences.
Labelling platform for text using weak supervision.
Toxic Comment Classification Challenge
Русскоязычный генеративный чатбот с профилем и фактами
Fuzzy matching and more functionality for spaCy.
Update Version of weibo_terminator, This is Workflow Version aim at Get Job Done!
The home server version of Almond
Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite...
Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.
English Part-of-Speech Tagger Library; a Ruby port of Lingua::EN::Tagger
Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
R wrapper to spaCy NLP
Universal Information Extraction, codes for the NeurIPS-2022 paper: Unifying Information Extraction with Latent Adaptive Structure-aware Generative La...
Summaries for exciting works in the field of Deep Learning.
🆕 Work continues on INCEpTION 👉 https://github.com/inception-project/inception 👈 -- ⚠️ The official WebAnno repository has reached the end of the l...
Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tas...