Abstract
This article provides an overview of modern natural language processing and understanding methods. All the monitored technologies are covered in the context of search engines. The authors do not consider any particular implementations of the search engines; however take in consideration some scientific research to show natural language processing techniques application prospects in the informational search industry.
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Acknowledgements
The funding for this research provided by the Council on grants of the President of the Russian Federation, Grant of the President of the Russian Federation for the state support of young Russian scientists - candidates of sciences MK-6888.2018.9. Conducted survey was supported by the RSF Grant №18-11-00336 and is a part of «Member of the Youth Research and Innovation Competition (UMNIK)» Grant No. 12686ГУ/2017 of 24.04.2018.
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Chernyshov, A., Balandina, A., Klimov, V. (2020). Overview of Natural Language Processing Approaches in Modern Search Engines. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham. https://doi.org/10.1007/978-3-030-25719-4_8
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DOI: https://doi.org/10.1007/978-3-030-25719-4_8
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