Intelligent natural language interface
Rahul S. Khokale, Manish T. Rana · 2010
Human voice has been the focus of study for different areas of science. As research shows, much interest already exists in the electronics research community for developing and integrating speech technology to a variety of applications, ranging from voice-activated systems to automatic telephone transactions. Two examples, a wearable context awareness component and a sensor-board, show how sensor-based perception can be implemented. It is also discussed how situational context can be exploited to improve input and output of mobile devices. The fastest and most straightforward way of communication for mankind is the voice. The purpose of this paper is to present the particularities of voice-based intelligent natural language interface in the unique conditions found in environment. In this paper the term "intelligent natural language interface" is defined. This approach allows us to remake up a word with speaker independence. The system will be an AI program which will accept verbal inputs and tries to understand its meaning and provides response accordingly in verbal form. Furthermore, it is proposed the use of a compiler with type 2 grammar according to the Chomsky hierarchy to support the syntactic and semantic structure in English language. Our experiments suggest that the spoken natural language improves notably the natural language interface when compared with traditional input methods such as: mouse or keyboard.