[2] Statistical natural language processing uses stochastic, probabilistic and statistical methods, especially to resolve difficulties that arise because longer sentences are highly ambiguous when processed with realistic grammars, yielding thousands or millions of possible analyses.
Methods for disambiguation often involve the use of corpora and Markov models.
"[3] A probabilistic method for rhyme detection is implemented by Hirjee & Brown[4] in their study in 2013 to find internal and imperfect rhyme pairs in rap lyrics.
The concept is adapted from a sequence alignment technique using BLOSUM (BLOcks SUbstitution Matrix).
They were able to detect rhymes undetectable by non-probabilistic models.