HMM automatic vowel detection

[MarcoP]

@Marco, a question,  does the software use the space as delimiter, or does it also have the option to analyze the text without?
If such info is not given: you could quickly parse a text twice, once without spaces and once with and compare results.

Hi David,
good question. I don't think Reddy and Knight had space as one of the characters, but this Python implementation does consider it as such (see the color matrix in the first post).

Of course it's possible to remove all spaces and train the model with a single string of characters, but this is not realistic (it implies that the first character of a word can phonetically follow the last character of the previous word, which is not necessarily true). After running a few experiments, I believe that presenting one word per line (with newlines but no spaces) is the most sensible approach. [Edit: after further checking the code, I now think that newlines are simply ignored. So there really are only two options: include space as a distinct character or concatenate all words with no spaces]

The results for Matthioli are very similar (but for the absence of the space character in the B matrix).