聊天机器人
计算机科学
Python(编程语言)
对话
光学(聚焦)
万维网
人机交互
人工智能
语言学
程序设计语言
光学
物理
哲学
作者
Sameera A. Abdul-Kader,John Woods
出处
期刊:International Journal of Advanced Computer Science and Applications
[The Science and Information Organization]
日期:2015-01-01
卷期号:6 (7)
被引量:143
标识
DOI:10.14569/ijacsa.2015.060712
摘要
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.
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