In many cases the words are merged into broader ambiguity classes because the Lex-HMM+LM uses the language model to model the morphology of words over individual partsof-speech, rather than entire ambiguity classes.
a word-type is likely to be assigned a given ambiguity class as long as at least one part-of-speech in that ambiguity class is associated with morphologically similar words.