related is the idea of "stemming" which uses an algorithm to try to reduce inflection, to find a common form of a word that various versions come from. Porters algorithm is a well known stemming algorithm. However, sometimes you end up with weird "non-inflected" tokens at the end. (e.g. 'enhancement' might become 'enhanc')

However, lemmatization is considered "better" in that it uses a dictionary of inflected forms that map back to the non-inflected form. So in theory, if the dictionary is comprehensive, you can properly replace inflected forms with their correct non-inflected forms. (e.g. 'enhancement' -> 'enhance')

If your dictionary isn't comprehensive and comes across a token it doesn't recognize, you can try falling back onto a stemming algorithm.