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.
夫子•明察司法大模型是由山东大学、浪潮云、中国政法大学联合研发,以 ChatGLM 为大模型底座,基于海量中文无监督司法语料与有监督司法微调数据训练的中文司法大...
[UNMANTEINED] Extract values from strings and fill your structs with nlp.
Pen.el stands for Prompt Engineering in emacs. It facilitates the creation, discovery and usage of prompts to language models. Pen supports OpenAI, El...
pytorch中文语言模型预训练
Markov chains in golang
A curated list of beginner resources in Natural Language Processing
Japanese to romaji converter in Python
Clone of OpenAI's ChatGPT and Playground environments to enable experimenting with API keys.
No-Frills Functional Programming Lib Augmenting Javascript/Node.js
AstrBot 自主学习插件 — 让 AI 聊天机器人自主学习对话风格、理解群组黑话、管理社交关系与好感度、自适应人格演化,像真人一样自然对话。
Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
Implementation of the ESIM model for natural language inference with PyTorch
Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). I...
Exploring attention weights in transformer-based models with linguistic knowledge.
Repository to track the progress in Vietnamese Natural Language Processing, including the datasets and the current state-of-the-art for the most commo...
基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks
Adaptive Chunking: automatically select the best chunking method per document for RAG. Accepted at LREC 2026.
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
Massively multilingual pronunciation mining
PERT: Pre-training BERT with Permuted Language Model
📘 Contains a series of hands-on notebooks for learning the fundamentals of NLP
Easy-to-use word-to-word translations for 3,564 language pairs.
A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).
Multilingual/multidomain question generation datasets, models, and python library for question generation.
Here you can find all the Tutorials for Haystack 📓
A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.
Chinese text segmentation with R. R语言中文分词 (文档已更新 🎉 :https://qinwenfeng.com/jiebaR/ )
A Python library for calculating a large variety of metrics from text
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 202...
List of resources and tools developed with focus on Portuguese.
The most important NLP highlights of 2018 (PDF Report)
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
Machine-readable lists of lemma-token pairs in 23 languages.
Notes of Develop/NLP/DeepLearning/Algorithms/LeetCodes
Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligen...
Spanish word embeddings computed with different methods and from different corpora
List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist
Automatically extract chemical information from scientific documents
100+ AI Machine learning Deep learning Computer vision NLP Projects with code
📧 Melusine: Use python to automatize your email processing workflow
PyTorch Implementation of OpenAI GPT-2
API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.
Checks all your documentation for spelling and grammar mistakes with hunspell and a nlprule based checker for grammar
Official repository for "DynaSaur: Large Language Agents Beyond Predefined Actions"
PyTorch implementation of the position-aware attention model for relation extraction
📊 Semantic search for headlines and story text