Survey on Chatbot Design Techniques in Speech Conversation Systems
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 7
Abstract
Human-Computer Speech is gaining momentum as a technique of computer interaction. There has been a recent upsurge in speech based search engines and assistants such as Siri, Google Chrome and Cortana. Natural Language Processing (NLP) techniques such as NLTK for Python can be applied to analyse speech, and intelligent responses can be found by designing an engine to provide appropriate human like responses. This type of programme is called a Chatbot, which is the focus of this study. This paper presents a survey on the techniques used to design Chatbots and a comparison is made between different design techniques from nine carefully selected papers according to the main methods adopted. These papers are representative of the significant improvements in Chatbots in the last decade. The paper discusses the similarities and differences in the techniques and examines in particular the Loebner prize-winning Chatbots.
Authors and Affiliations
Sameera Abdul-Kader, Dr. John Woods
Keywords
Related Articles
- EP ID EP148342
- DOI 10.14569/IJACSA.2015.060712
- Views 116
- Downloads 0
3D CAD model reconstruction of a human femur from MRI images
Medical practice and life sciences take full advantage of progress in engineering disciplines, in particular the computer assisted placement technique in hip surgery. This paper describes the three dimensional model reco...
Toward Exascale Computing Systems: An Energy Efficient Massive Parallel Computational Model
The emerging Exascale supercomputing system expected till 2020 will unravel many scientific mysteries. This extreme computing system will achieve a thousand-fold increase in computing power compared to the current petasc...
A New Shoulder Surfing and Mobile Key-Logging Resistant Graphical Password Scheme for Smart-Held Devices
In globalization of information, internet has played a vital role by providing an easy and fast access of information and systems to remote users. However, with ease for authentic users, it has made information resources...
Increase Efficiency of SURF using RGB Color Space
SURF is one of the most robust local invariant feature descriptors. SURF is implemented mainly for gray images. However, color presents important information in the object description and matching tasks as it clearly in...
Determining the Efficient Structure of Feed-Forward Neural Network to Classify Breast Cancer Dataset
Classification is one of the most frequently encountered problems in data mining. A classification problem occurs when an object needs to be assigned in predefined classes based on a number of observed attributes related...