Questions

DD2380 HT24 (AIHT24_2) Q7: CV and NLP

Multiple choice

Mark all of the following application examples, where n-gram models are likely to work well:

Options

A.Recognizing that there is a typo that was not revealed by a spell-checker, for instance in "Switch it of."

B.Suggesting the next word to come, for instance suggesting that the next word after "Thank" should be "you".

C.Choosing the right translation from one language to another, for instance translating "Jag väger ett ton." as "I weigh a ton." rather than "I weigh a tune."

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Step-by-Step Analysis

When evaluating where n-gram models are likely to perform well, it helps to consider what these models excel at and what tasks they are well-suited to support. Option 1: 'Recognizing that there is a typo that was not revealed by a spell-checker, for instance in "Switch it of."' An n-gram language model can be sensitive to unnatural or improbable word sequences. In the phrase "Switch it ......Login to view full explanation

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