1. A system comprising: one or more processors; and a modeling component executed by the one or more processors to: receive accented speech data for a word; generate, for the word, a parse table that includes a plurality of levels, each level corresponding to a different respective subword type and including one or more subwords of the respective subword type; determine, based at least on the accented speech data, a set of probabilities at each level of the parse table, each probability of the set of probabilities for a particular level being associated with a respective subword of the one or more subwords of the particular level; and combine the sets of probabilities to generate a model for accented speech recognition, wherein the model provides a probability of occurrence for each of one or more phone sequences corresponding to a mispronunciation of the word.
1. A system comprising: one or more processors; and a modeling component executed by the one or more processors to: receive accented speech data for a word; generate, for the word, a parse table that includes a plurality of levels, each level corresponding to a different respective subword type and including one or more subwords of the respective subword type; determine, based at least on the accented speech data, a set of probabilities at each level of the parse table, each probability of the set of probabilities for a particular level being associated with a respective subword of the one or more subwords of the particular level; and combine the sets of probabilities to generate a model for accented speech recognition, wherein the model provides a probability of occurrence for each of one or more phone sequences corresponding to a mispronunciation of the word. 5. The system of claim 1 , further comprising a lexicon adaptation component that is executed by the one or more processors and that generates the accented speech data for the word using semi-supervised lexicon adaptation.