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The project uses a single a document as input(.txt) and a compresion ratio as input and generate a files that picks up significant sentences in that order from the document. It uses natural language processing stanford POS tagger and an algoritm that on the basis of similarity and distinctiveness calculates rank of each sentence and based on the…
A stochastic part of speech tagger (POS tagger), which assigns each word in a text a part-of-speech label. Using a Hidden Markov Model and the Viterbi algorithm.