Build unigram and bigram language models, implement Laplace smoothing and use the models to compute the perplexity of test corpora.
-
Updated
Jun 24, 2017 - Python
Build unigram and bigram language models, implement Laplace smoothing and use the models to compute the perplexity of test corpora.
High-precision, Byte-Fallback Unigram tokenizer with dual-offset tracking, arithmetic isolation, and multilingual Unicode protection.
NLP extra project at AUT Artificial Intelligence course (Fall 2020)
Word2Vec using Hierarchy Softmax and Negative Sampling with Unigram & Subsampling
Python Web Crawler implementing Iterative Deepening Depth Search
Performance evaluation of sentiment classification on movie reviews
UNB Fall-2018 NLP Assignments 💬
Word segmentation to create unigrams in Portuguese (pt-br)
Global NIPS Paper Implementation Challenge - Plagiarism Detection on Electronic Text Based Assignments Using Vector Space Model (iciafs14)
Final AI course of CE department at Amirkabir University of Technology (Tehran Polytechnic) - Winter 2020.
easy to use mixture of unigram topic modeling tool
Sentiment Classification exercise with perceptron, feed-forward multilayer net, LSTM RNN, and RCNN!
Community-maintained UnigramPlus fork for current NVDA releases. Code maintenance is driven by GPT-5.5 powered Codex; the human maintainer reviews functionality and participates in discussions.
Build a bigram language model from scratch with PyTorch to understand the basics behind modern AI language models like GPT and LLaMA.
a probabilistic language identification system that identifies the language of a sentence
200k-vocab SentencePiece (Unigram) tokenizer for German-primary LLMs — German/English/code, low fertility, byte-fallback, chat-template tokens. From the Auralis/Helix project.
SentencePiece Tokenizer Wrapper implementation for PLDR-LLM with KV cache and G-cache
To associate your repository with the unigram topic, visit your repo's landing page and select "manage topics."