Consider the following corpus : and the pretty kitten purred, rubbing against her legs and then ... the pretty furry pussy purred and miaoued... that the tiny kitten miaoued and she... then the big furry dog barks a while... Let C= {while, pretty, purred, rubbing, big, furry, miaoued, barks, tiny}, be a basis vocabulary of context words. (a) Consider the target words, kitten, pussy and dog. Using only the basis vocabulary C, for each target word write down the set of all context words corresponding to a window size equal to 2. Solution: kitten context words = { , ...}, pussy context words = { { }, .}. dog context words - (b) For each target word, write an 9-dimensional vector representation by counting the base vocabulary words appearing two words to the left or right of each instance of the target word. The ordering of words in C should be respected starting with the word "while" and ending with the word tiny. Solution: kitten = (.,,.,,.), pussy (.,.,.,.,.), dog (., ., ., ...). (c) Compute the count-based similarity between individual target words using both Euclidean distance and cosine similarity, respectively. Euclidean Cosine kitten and pussy kitten and dog pussy and dig