I\'m using a snowball analyzer to stem the titles of multiple documents. Everything works well, but their are some quirks.
Example:
A search for \"valv\", \
I used 2 different approach to solve this before
Use two fields, one that contain stemmed terms, the other one containing terms generated by say, the StandardAnalyzer. When you parse the search query if its a wildcard search in the "standard" field, if not use the field with stemmed terms. This may be harder to use if you have the user input their queries directly in the Lucene's QueryParser.
Write a custom analyzer and index overlapping tokens. It basically consist of indexing the original term and the stem at the same position in the index using the PositionIncrementAttribute. You can look into SynonymFilter to get some example of how to use the PositionIncrementAttribute correctly.
I Prefer solution #2.