Comprises a set of techniques to work with documents written in a natural language to achieve many different objectives.

This project is to identify top trends in twitter and generates the summary of those trending hashtags in about 50 to 160 words using Text-to-Text transformer model.

Vote the Best LLM by yourself! 票选你最喜欢的大语言模型

This repo contains a portfolio of Python code and related documentation I wrote for my graduate coursework at Colorado State University - Global Campus.

Fork of RNNLG for neural network based natural language generation in Python 3

NLP tools generate Markov sentences & models.

Just stories regarding my interests on building EmoticKoreanChatbotAI (Functional & Relational) in 2017

A chatbot.

A library for machine learning models applied to Profile and Job data. http://riminder.net

Natural language generator using CNN-LSTM

Fine Tuned GPT-2 Text Generation Model on Donald Trump's Rally Speeches for US Presidential Elections.

Bigram Language Model

SKKU AI X Bookathon 4회 [쿠봇] 팀의 레포지토리입니다.

Official repository of Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization [EMNLP'22 Findings]

In this Project I have used Speech Recognition tools to perform speech-to-text and text-to-speech tasks, and I leveraged pre-trained Transformers language models to give the bot some Artificial Intelligence.

Procedural generation for constructed language

RiScript: a minor language

A generative model for text, character-by-character using LSTM recurrent neural networks in Python with Keras. Later extending to make Predictive Keyboard.

Unsupervised NMT based on Masked Seq-to-Seq

An English-based natural language generator for numerical inputs.