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In the previous session, we covered tokenization and linguistic pre-processing. We explored techniques that can be mixed to suit the requirements of the system being developed. Stemming and organization were discussed, followed by a look at how to optimize merge and intersection operations on postings lists using skip pointers. We also delved into enhancing the inverted index from Chapter 1 to handle phrase and proximity queries, including using a byword index for indexing pairs of tokens instead of individual ones to improve query capabilities.
