Latent variables we wish to consider are an increased number of word classes ; more flexible regions -- see Petrov et al. ( 2007 ) on learning a state transition diagram for acoustic regions in phone recognition -- and phonological features and syllable boundaries .
learning structured models for phone recognition
Slav Petrov Adam Pauls Dan Klein
We would like to use features that look at wide context on the input side , which is inexpensive ( Jiampojamarn et al. , 2007 ) . Latent variables we wish to consider are an increased number of word classes ; more flexible regions -- see Petrov et al. ( 2007 ) on learning a state transition diagram for acoustic regions in phone recognition -- and phonological features and syllable boundaries . Indeed , our local log-linear features over several aligned latent strings closely resemble the soft constraints used by phonologists ( Eisner , 1997 ) .
Latent variables we wish to consider are an increased number of word classes ; more flexible regions -- see @@CITATION on learning a state transition diagram for acoustic regions in phone recognition -- and phonological features and syllable boundaries .