Various exports from Brown Corpus and useful scripts.

Corpus Linguistics slides, labs, assignments and data

Sentence generator using tokens from the Brown corpus

Viterbi Algorithm for POS tagging of sentences using Brown corpus

Part-Of-Speech-tagging using Hidden Markov model to identify the category of words ('noun', 'verb', ...) in plain text.

Auto tagger created with RNN using Bi-LSTM cell

A program which guesses next words based on the user's input. Suggestions are the words with the highest probability to follow what has been already written, calculated in the n_grams of different size.

POS tagging using a Hidden Markov Model (HMM) with Viterbi Decoding

This project trains a Long Short Term Memory (LSTM) network to detect and classify a text written in English according to a particular variant: whether it is British or American.

Quantify the similarity between pairs of words of a dataset using Lin similarity, NPMI and LSA.

Simple Python Implementation of Stemmer and Lemmatizer

Implemented a collection of Ngram language models on brown corpus from scratch

This notebook explores how clustering semantically similar words can help make Natural Language Processing tasks easier.

Natural Language Processing (2018)

Text Analysis techniques using Brown Corpus , CMU dictionary

Hidden Markov Model for Part of Speech Tagging

Fun in-class exercise for understanding the inner workings of word2vec in NLP. Implemented Google News 300 word2vec pre-trained model, and also trained a model from scratch with an existing text dataset (Brown Corpus).