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Given training data as list of tokenized words [[“I”, “am”, “a”, “person”],    [“I”, “am”, “good”],    [“a”, “person”]] write a predictor that predict a word’s most frequent bigram e.g. predict(“I”) -> “am”   predict(“a”) -> “person   predict(“am”) -> “a”
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Software Engineer Intern

Interviewed at Google

4.4★
Jan 10, 2022

Given training data as list of tokenized words [[“I”, “am”, “a”, “person”],    [“I”, “am”, “good”],    [“a”, “person”]] write a predictor that predict a word’s most frequent bigram e.g. predict(“I”) -> “am”   predict(“a”) -> “person   predict(“am”) -> “a”

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