Various exports from Brown Corpus and useful scripts.
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Updated
Mar 15, 2017 - Python
Various exports from Brown Corpus and useful scripts.
Sentence generator using tokens from the Brown corpus
Corpus Linguistics slides, labs, assignments and data
Part-Of-Speech-tagging using Hidden Markov model to identify the category of words ('noun', 'verb', ...) in plain text.
Viterbi Algorithm for POS tagging of sentences using Brown corpus
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
Simple Python Implementation of Stemmer and Lemmatizer
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.
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).
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