Pattern Recognition and Natural Language Processing: State of the Art
Journal Title: TEM JOURNAL - Year 2016, Vol 5, Issue 2
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.
Authors and Affiliations
Mirjana Kocaleva, Done Stojanov, Igor Stojanovik, Zoran Zdravev
Keywords
Related Articles
- EP ID EP101519
- DOI 10.18421/TEM52-18
- Views 173
- Downloads 0
Operational Value and Accessibility of Services in SOA-based Intelligence Information Systems
The concept of Service-Oriented Architecture (SOA) can be used as a foundation for establishing an integrated Intelligence System, which would be based on services as software components. It offers better coordinat...
Strategy development by using SWOT - AHP
This paper employs combination of SWOT analysis and Analytic Hierarchy Process (AHP) in strategic planning for tourism of small mid-european city Varazdin, which is located in the north west of ...
Role of Personal Factors in Academic Success and Dropout of IT Students: Evidence From Students and Alumni
Aims of the study were three fold: to identify the factors which are able to explain academic success of IT students, to explore differences in perception of current students and alumni and to explore differences b...
Is the Continuance a New Buzz Word? Bibliometric and Co-citation Analysis of E-learning Continuance
Through the bibliometric and co-citation analysis, this paper offers a review of science achievements in the area of e-learning continuance, with focus on identification of the field relevance, authors and most cit...
Comparison of Feature Selection Techniques in Knowledge Discovery Process
The process of knowledge discovery in data consists of five steps. Data preparation, which includes data cleaning and feature selection, takes away from 60% to 95% total time of the whole process. Thus, it is cruci...