You are given the following data:vocabulary V = (w1, w2, w3) and the bigram probability distribution p on V x V given by:!!p(w1, w1) = p(w3, w3) = 1/5%3Dp(w2, w2) = 0,!3!p(w2, w1) = 1/6,!3!p(w1, w3) = 1/5,%3Dp(w2,w3)=1/15p(w1, ") = 2/5 (that is w1 as the first of a pair).p(*, w2) = 1 /6.%3!Calculate p(w1, w2) and p(w2 | w3) using Markov's rule

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You are given the following data: vocabulary V (w1, w2, w3) and the bigram probability distribution p on V x V given b p(w1, w1) = p(w3, w3) = 1/5 p(w2, w2) = 0, p(w2, w1) = 1/6, p(w1, w3) = 1/5, p(w2,w3)=1/15 p(w1. ) 2/5 (that is w1 as the first of a pair). p(", w2) = 1 /6. Calculate p(w1, w2) and p(w2 | w3) using Markov's rule

You are given the following data: vocabulary V (w1, w2, w3) and the bigram probability distribution p on V x V given b p(w1, w1) = p(w3, w3) = 1/5 p(w2, w2) = 0, p(w2, w1) = 1/6, p(w1, w3) = 1/5, p(w2,w3)=1/15 p(w1. ) 2/5 (that is w1 as the first of a pair). p(", w2) = 1 /6. Calculate p(w1, w2) and p(w2 | w3) using Markov's rule

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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