6. The method of claim 1 , wherein: the heteronym in the n-gram is associated with a first pronunciation; processing the speech input using the automatic speech recognition system includes determining a frequency of occurrence of a second n-gram with respect to the corpus; the second n-gram includes the heteronym and the one or more additional words; the heteronym in the second n-gram is associated with a second pronunciation; and the correct pronunciation of the heteronym is determined based on the frequency of occurrence of the n-gram and the frequency of occurrence of the second n-gram.
6. The method of claim 1 , wherein: the heteronym in the n-gram is associated with a first pronunciation; processing the speech input using the automatic speech recognition system includes determining a frequency of occurrence of a second n-gram with respect to the corpus; the second n-gram includes the heteronym and the one or more additional words; the heteronym in the second n-gram is associated with a second pronunciation; and the correct pronunciation of the heteronym is determined based on the frequency of occurrence of the n-gram and the frequency of occurrence of the second n-gram. 9. The method of claim 6 , wherein the phonemic string corresponds to the second pronunciation, wherein the frequency of occurrence of the n-gram is greater than the frequency of occurrence of the second n-gram by at least a predetermined amount, and wherein the correct pronunciation of the heteronym is determined to be the first pronunciation.