Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm

Boilerplate code for quickly getting set up to run language modeling experiments

A Tensorflow 2, Keras implementation of POS tagging using Bidirectional LSTM-CRF on Penn Treebank corpus (WSJ)

Language modeling on the Penn Treebank (PTB) corpus using a trigram model with linear interpolation, a neural probabilistic language model, and a regularized LSTM.

An implementation of WaveNet using PyTorch & PyTorch Lightning

Training an LSTM network on the Penn Tree Bank (PTB) dataset

Build a recurrent neural network using TensorFlow and Keras.

Experiments of developing an IRTG which simultaneously encodes transformations between phrase structure trees, dependency graphs and semantic graphs.

Parser for treebanks based on Penn Treebank type of encoding that generates Probabilistic Context Free Grammars

nltk utility which more accurately lemmatizes text using pre-trained part-of-speech tagger.

We use Bi-LSTM to learn to tag the Parts of Speech in a sentence using NLTK Brown corpus Dataset.

Turkish tree translation of 9561 Penn-Treebank trees (Number of leaves <= 15) and syntactic and semantic annotations of them

Batchloader for Penn Treebank dataset

LSTM word level language model implementation in tensorflow and pytorch

NLP: HMMs and Viterbi algorithm for POS tagging

A collection of SKOS-based vocabularies for describing parts of speech in corpora and dictionaries.

Hierarchical Multiscale RNN, course project for "NLU and Computational Semantic" at NYU

This repository contains Natural Language Processing programs in the Python programming language.

This source code converts a given corpus in the PennTreebank format to the DCG format, being appropriate to run in Prolog.

Reproduction of CIFAR-10/CIFAR-100 and Penn Treebank experiments to test claims in "LookaheadOptimizer: k steps forward, 1 step back" https://arxiv.org/abs/1907.08610