Telegram for Windows
#自然语言处理#Next Word Prediction using n-gram Probabilistic Model with various Smoothing Techniques
#自然语言处理#Fast and versatile tokenizer for language models, compatible with SentencePiece, Tokenizers, Tiktoken and more. Supports BPE, Unigram and WordPiece tokenization in JavaScript, Python and Rust.
The Unigram website build with React and Bootstrap.
NLP tutorials and guidelines to learn efficiently
Telegram bot that generates random messages using a Markov chain, now for Node.js
#自然语言处理#NLP extra project at AUT Artificial Intelligence course (Fall 2020)
#自然语言处理#All AUT's principles and applications of artificial intelligence course projects.
Word2Vec using Hierarchy Softmax and Negative Sampling with Unigram & Subsampling
Python Web Crawler implementing Iterative Deepening Depth Search
#自然语言处理#UNB Fall-2018 NLP Assignments 💬
#自然语言处理#We have implemened an NLP Project to recognize the correct poets. In the project, we have used the bigram, unigram and backoff model for smoothing.
#自然语言处理#Performance evaluation of sentiment classification on movie reviews
#自然语言处理#COMP6721: Introduction to Artificial Intelligence Assignments (GOFAI, Machine Learning, NLP)
#自然语言处理#Academic project centered around n-grams and their application in developing a spelling corrector with contextual awareness.
Unigram Tokenization realization from scratch
