language-modelling 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
PyNLPl，发音为“pineapple”，是一个用于自然语言处理的Python库。它包含多种适用于常见和较少见的自然语言处理任务的模块。PyNLPl 可用于提取 n-gram 和频率列表等基础任务，并构建简单的语言模型。还有更复杂的数据类型和算法。此外，还有适用于自然语言处理中常见文件格式的解析器（例如 FoLiA/Giza/Moses/ARPA/Timbl/CQL）。还有客户端可与各种NLP专用服务器接口。PyNLPl 最显著的是拥有非常丰富的库，用于使用 FoLiA XML（语言注释格式）。
A lightweight implementation of Beam Search for sequence models in PyTorch.
Contextualised Embeddings and Language Modelling using BERT and Friends using R
Transformer Based SeqGAN for Language Generation
Pytorch implementation of MaskGAN
Code for my master thesis in Deep Learning: "Generating answers to medical questions using recurrent neural networks"
This repository contains code and data download instructions for the workshop paper "Improving Hierarchical Product Classification using Domain-specific Language Modelling" by Alexander Brinkmann and Christian Bizer.
Language Modelling, CMI vs Perplexity
Memory Based Word Predictor/Language Model http://ilk.uvt.nl/wopr/
PyTorch implementations of word embeddings and language modelling.
Code for paper: "Numeracy Enhances the Literacy of Language Models"
N-Gram language model that learns n-gram probabilities from a given corpus and generates new sentences from it based on the conditional probabilities from the generated words and phrases.
BERT-based pre-trained non-autoregressive sequence-to-sequence model
Spelling correction and grammar detection with statistical language models
Sequence CNN network inspired by the WaveNet architecture written in both Tensorflow and PyTorch.
In this project we will generate the sentences using ngrams
This repository contains projects completed as part of the NLP course at AGH University of Science and Technology in 2024/2025. Final grade: 5.0/5.0.
Implementation of Transformer, BERT and GPT models in both Tensorflow 2.0 and PyTorch.
A simple series of programs to train gated recurrent neural networks with PyTorch and generate text based on them.
State-of-the-Art Language Modelling in Python with PyTorch.