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https://github.com/jpate/prosodicParsing

different kinds of HMMs to use for incorporating prosody into basic parsing
https://github.com/jpate/prosodicParsing

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different kinds of HMMs to use for incorporating prosody into basic parsing

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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