The module provides the analyse wrapper function which uses the Morfeusz library for morphosyntactic analysis. The result is represented as a directed acylic graph (DAG) with Token labeled edges. The DAG representation is needed when the input word has multiple correct segmentations.

>>> :m NLP.Morfeusz
>>> :set -XOverloadedStrings
>>> mapM_ print . analyse False $ "miałem"
Edge {from = 0, to = 1, label = Token {orth = "mia\322", interps = [Interp {base = "mie\263", msd = "praet:sg:m1.m2.m3:imperf"}]}}
Edge {from = 0, to = 2, label = Token {orth = "mia\322em", interps = [Interp {base = "mia\322", msd = "subst:sg:inst:m3"}]}}
Edge {from = 1, to = 2, label = Token {orth = "em", interps = [Interp {base = "by\263", msd = "aglt:sg:pri:imperf:wok"}]}}

You can use the paths function to extract all paths from the resultant DAG and, if you are not interested in all possible segmentations, just take the first of possible paths:

>>> mapM_ print . paths . analyse False $ "miałem"
[Token {orth = "mia\322em", interps = [Interp {base = "mia\322", msd = "subst:sg:inst:m3"}]}]
[Token {orth = "mia\322", interps = [Interp {base = "mie\263", msd = "praet:sg:m1.m2.m3:imperf"}]},Token {orth = "em", interps = [Interp {base = "by\263", msd = "aglt:sg:pri:imperf:wok"}]}]
>>> mapM_ print . head . paths . analyse False $ "miałem"
Token {orth = "mia\322em", interps = [Interp {base = "mia\322", msd = "subst:sg:inst:m3"}]}