Vol.5, No.2, May 2016.                                                                                                               ISSN: 2217-8309

                                                                                                                                                  eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science


Pattern Recognition and Natural Language Processing: State of the Art

 

Mirjana Kocaleva, Done Stojanov, Igor Stojanovik, Zoran Zdravev

 

© 2016 Mirjana Kocaleva et al, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 5, Issue 2, Pages 236–240, ISSN 2217-8309, DOI: 10.18421/TEM52-18, May 2016.

 

Abstract:

 

Development of information technologies is growing steadily. With the latest software technologies development and application of the methods of artificial intelligence and machine learning intelligence embededs in computers, the expectations are that in near future computers will be able to solve problems themselves like people do. Artificial intelligence emulates human behavior on computers. Rather than executing instructions one by one, as theyare programmed, machine learning employs prior experience/data that is used in the process of system’s training. In this state of the art paper, common methods in AI, such as machine learning, pattern recognition and the natural language processing (NLP) are discussed. Also are given standard architecture of NLP processing system and the level thatisneeded for understanding NLP. Lastly the statistical NLP processing and multi-word expressions are described.

 

Keywords – artificial intelligence, machine learning, pattern recognition, natural language processing.

 

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