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different kinds of HMMs to use for incorporating prosody into basic parsing
FieldDB/prosodicParsing
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Here are some Hidden Markov Models (HMMs). PlainHMM is the usual HMM: q_1 ---> q_2 ---> q_3 .... | | | | | | v v v o_1 o_2 o_3 ... TwoOutputHMM has one hidden stream and two output streams: a_1 a_2 a_3 ... ^ ^ ^ | | | | | | q_1 ---> q_2 ---> q_3 ... | | | | | | v v v o_1 o_2 o_3 ... CoupledHMM has two hidden streams and two output streams: a_1 a_2 a_3 ... ^ ^ ^ | | | | | | p_1 -->_ p_2 -->_ p_3 ... \ /| \ /| \ / \ / X X / \ / \ / _\| / _\| q_1 --> q_2 --> q_3 ... | | | | | | v v v o_1 o_2 o_3 ... This uses a modified version of mallet (included in the lib directory) whose source can be obtained from: https://bitbucket.org/jpate/mallet
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