I am looking for a good stemmer for Hebrew - I found nothing at all using Google...
On the HebMorph site it says that:
Stem and Lemma originally have different meanings, but for Semitic languages they seem to be used interchangeably.
Does that mean that for NLP purposes, I could use lemmas instead of stems? Keeping in mind that: Stemmers are much simpler, smaller and usually faster then lemmatizers, and for many applications their results are good enough. Using a lemmatizer for that is a waste of resources. (source )
Thank you.
In Hebrew both stemmer and lemmatizer are complex - you cannot just trim letters from the word according to ending of a word like in porter stemmer...
Regarding an existing implementation of a lemmatizer you can try http://hebrew-nlp.co.il currently in beta and it is free