Laplace Smoothing in Naive Bayes

You're building a Naive Bayes spam classifier and a word in the test email never appeared in your training data's spam class. Without any correction, this word's conditional probability estimate is zero, which zeroes out the entire prediction. What technique fixes this, and how does it work?