32. Further work
Incorporate segmental parameters into classifier (fix Unicode
issues with NLTK’s classify module)
Use classifier to predict assignment of random words from
Westeros to Dothraki, Astapori Valyrian, and High Valyrian
languages
Isolate most important word-internal parameters in
classification model (log-likelihood ranking in Naive Bayes
model)
Use full distributional account of select Assamese consonants
as priors in acoustic classification model