This paper expounds an algorithm for morphological analysis of English language. The
algorithm consists of two closely related components: morphological rule learning and
morphological analyzing. The morphological rules are obtained through statistical learning from
wordlist, with particular morphological features of English language taken into consideration. The
procedure of morphological analysis considers two types of ambiguities: intersectional ambiguity
and combinatory ambiguity. The procedure also considers the order of wordform formation in the
language. Experiment shows that the algorithm performs distinctively compared to other algorithms.

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