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BiLSTM-POS-Tagging

Using Bi-LSTM to learn taging the Parts of Speech in a sentence using GloVe Embeddings and trained on NLTK Brown corpus Dataset.

Corpus : Brown

Tag set: Universal

No. of words to be tagged : 1161192

No. of tags in the Corpus : 12

5 fold Cross Validation Accuracy : 96.67 %

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

nlp pos glove penn-treebank parts-of-speech nlp-machine-learning nltk-library part glove-vectors glove-embeddings bilstm

CC0-1.0 license

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