Abstract
The inter-language dependency along with dominance of English in its various forms in the Internet requires specific approaches to search systems, more focused on language models propounded by linguists than on simple key-word searches. As a result, existing methods require seemingly chaotic modifications to the regular language modelling approach to ensure resilience to international users linguistic impurities through condoning the malforms according to the grammar correctness and phrase acceptability paradigms, further increasing performance and dependability of text analysis systems. The following paper focuses on the effects of simulated evolutionary processes on syntax models phrase analysis efficiency.
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Karwinski, M. (2011). “Dynamic” Syntax Model in Automated Language Analysis Systems for Increasing Full-Text Search Systems Efficiency. In: Ryżko, D., Rybiński, H., Gawrysiak, P., Kryszkiewicz, M. (eds) Emerging Intelligent Technologies in Industry. Studies in Computational Intelligence, vol 369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22732-5_14
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DOI: https://doi.org/10.1007/978-3-642-22732-5_14
Publisher Name: Springer, Berlin, Heidelberg
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