Graham Neubig

nn4nlp-code. Code Samples from Neural Networks for NLP

lowresource-nlp-bootcamp-2020. The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020

nlptutorial. A Tutorial about Programming for Natural Language Processing

nmt-tips. A tutorial about neural machine translation including tips on building practical systems

starter-repo. An example starter repo for Python projects

kytea. The Kyoto Text Analysis Toolkit for word segmentation and pronunciation estimation, etc.

anlp-code. Jupyter Notebook

nlp-from-scratch-assignment-2022. An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch

research-career-tools. Python

lamtram. lamtram: A toolkit for neural language and translation modeling

naacl18tutorial. NAACL 2018 Tutorial: Modelling Natural Language, Programs, and their Intersection

minllama-assignment. Python

minbert-assignment. Minimalist BERT implementation assignment for CS11-711

minnn-assignment. An assignment on creating a minimalist neural network toolkit for CS11-747

yrsnlp-2016. Structured Neural Networks for NLP: From Idea to Code

util-scripts. Various utility scripts useful for natural language processing, machine translation, etc.

latticelm. Software for unsupervised word segmentation and language model learning using lattices

coderx. A highly sophisticated sequence-to-sequence model for code generation

rapid-adaptation. Reproduction instructions for "Rapid Adaptation of Neural Machine Translation to New Languages"

mtandseq2seq-code. Code examples for CMU CS11-731, Machine Translation and Sequence-to-sequence Models

travatar. This is a repository for the Travatar forest-to-string translation decoder

lxmls-2017. Slides/code for the Lisbon machine learning school 2017

modlm. modlm: A toolkit for mixture of distributions language models

kylm. The Kyoyo Language Modeling Toolkit

nlp-from-scratch-assignment-fall2024.

pgibbs. An implementation of parallel gibbs sampling for word segmentation and POS tagging.

howtocode-2017. An example of DyNet autobatching for the NIPS "how to code a paper" workshop

egret. A fork of the Egret parser that fixes a few bugs