[Student-projects] Fwd: Improve learning in Varnam

[Kevin Martin]

The proposed GSoC project that aims to improve varnam's learning system
states :

"The main goal of this is to improve how varnam tokenizes when learning
words. Today, when a word is learned, varnam takes all the possible
prefixes into account and learn all of them to improve future suggestions.
But sometimes, this is not enough to predict good suggestions. An
improvement is suggested which will try to infer the base form of the word
under learning. "

Can someone provide examples to the cases where the current learning system
fails? I still have not made up my mind which will be a better project -
this or CMU Sphinx acoustic modeling

regards,

Kevin Martin Jose
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