Calculate the bigram probabilities for every pair of tags

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Reference no: EM132171737

Using matlab

Natural Language Learning: Given the training data below and assuming that the only part-of-speech (POS) tags are N, V and J

Training Data:

flying/N planes is/V dangerous/J

Tom/N is/V flying/V kites/N

I/N saw/V Mary/N flying/V planes/N

Calculate the likelihood probabilities of each word for each POS;

Calculate the bigram probabilities for every pair of tags

Calculate the probability scores assigned by the Viterbi algorithm for the string "Flying kites is dangerous".

Reference no: EM132171737

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