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PORORO: Platform Of neuRal mOdels for natuRal language prOcessing
NeuSpell: A Neural Spelling Correction Toolkit
Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington
Word sense disambiguation using neural models, replicating https://research.google.com/pubs/pub45729.html?authuser=0
Dataset for automatic readability assessment and text simplification of sentences in Italian administrative language.
Large Scale Neural Modeling (LSNM) simulator in Python
Replicating brain's low energy high efficiency model architecture & calculating (maths)
Code for "Analyzing Phonological Surfeit of the Stimulus in Neural Models" Ling 215 final project at Harvard
This repository implements N-gram language modeling with Kneser-Kney and Witten Bell smoothing techniques, including an in-house tokenizer. It also features a neural model with LSTM architecture and calculates perplexities for comparing language and neural models.