Arabic Search Algorithm (ASA)

ASA is high-performance, full-featured text search algorithm can be written in many programming languages like c, java, c++, perl, python . It is a technology suitable for nearly any application that requires full-text search, especially cross-platform.

ASA is a suite of algorithms, neural network based, that can learn arabic language rules and grammar, it´s designed for data mining, manipulation and can be used in archives, Libraries or news portals.

Feartures:  

• Small RAM requirements -- only 1MB heap
• Incremental indexing as fast as batch indexing
• Index size roughly 20-30% the size of text indexed
• Ranked searching -- best results returned first
• Many powerful query types: phrase queries, wildcard queries, proximity queries, range queries and more
• Fielded searching (ex: title, author, contents) , sorting by any field
• Multiple-index searching with merged results
• Allows simultaneous update and searching
• Flexible faceting, highlighting, joins and result grouping
• Fast, memory-efficient and typo-tolerant suggesters
• Compress arabic texts up to 80%
• Less than 3 seconds (search time, i5 processor, 8 GB ram)