Abstract: A method (300) and apparatus (100) for recognizing human intent includes capabilities of recognizing (305) a sequence of words by a expression recognizer (115), and determining (310) a most likely value of a replacement for a target word in the sequence of words using the target word, a correction model (210), and one or more words in the sequence of words near the target word. The words may be spoken words, handwritten words, or gesture words. In some embodiments, the expression recognizer may be a speaker independent speech recognizer. The correction model includes conditional probabilities for all word values in a vocabulary, given a particular sequence of words being analyzed, including a target word and words near the tarter word.