The document discusses practical Hebrew search and challenges with Hebrew information retrieval. It covers topics like inverted indexes, tokenization, normalization, stemming, stop words and ambiguities in the Hebrew language that make search complex. It introduces the HebMorph project which aims to make Hebrew texts properly searchable while maintaining relevance, through tools like the MorphAnalyzer and evaluations on Lucene.

5. Practical Hebrew search Search 101: the Inverted Index The index: Dictionary and posting lists 6 documents to index Example from: Justin Zobel , Alistair Moffat, Inverted files for text search engines, ACM Computing Surveys (CSUR) v.38 n.2, p.6-es, 2006 Positions Term <4> where <1> <3> town <1> <2> <3> <4> <5> <6> the <6> sleeps <4> sleep <1> <2> <3> <4> old <1> <4> <5> night <4> never <6> light <1> <5> <6> keeps <1> <4> <5> keeper <1> <3> <5> keep <1> <2> <3> <5> <6> in <2> <3> house <3> had <2> gown <4> did <6> dark <2> <3> big <6> and And keeps in the dark and sleeps in the light. 6 The night keeper keeps the keep in the night 5 Where the old night keeper never did sleep. 4 The house in the town had the big old keep 3 In the big old house in the big old gown. 2 The old night keeper keeps the keep in the town 1

6. Practical Hebrew search Search 101: the Inverted Index The index: Dictionary and posting lists 6 documents to index User queries for “Keeper” And keeps in the dark and sleeps in the light. 6 The night keeper keeps the keep in the night 5 Where the old night keeper never did sleep. 4 The house in the town had the big old keep 3 In the big old house in the big old gown. 2 The old night keeper keeps the keep in the town 1 Positions Term <4> where <1> <3> town <1> <2> <3> <4> <5> <6> the <6> sleeps <4> sleep <1> <2> <3> <4> old <1> <4> <5> night <4> never <6> light <1> <5> <6> keeps <1> <4> <5> keeper <1> <3> <5> keep <1> <2> <3> <5> <6> in <2> <3> house <3> had <2> gown <4> did <6> dark <2> <3> big <6> and

9. Practical Hebrew search Meet Lucene Data sources Analysis chain Search Application UI Query parser Lucene Index Perform indexing Gather and parse Make Lucene document

10. Practical Hebrew search Using Lucene: Indexing

11. Practical Hebrew search Using Lucene: Search

26. Practical Hebrew search lucene.analysis.hebrew.MorphAnalyzer