Friendly Interfaces Between Humans and Machines

1. Dissecting the Monograph2.Introduction2.1.Language2.2. Natural Language Interfaces3.Language3.1. Evolution of Language3.2.Grammar3.3. Richness of Language3.4. Universal Networking Language [41]3.5. Transactional Language3.6. Wordnet3.7. Search Engine | Query Answering Systems.4. Deep and Minimal Parsing4.1.1. Syntacto Semantic Categories for Phrases4.1.2. Minimal Parsing System4.2. Using the Minimal Parsing Idea4.3. KC in transaction oriented HMI5. HMI Systems5.1. Information Retrieval based Question Answering5.2. Our Approach and Goal6. Case Studies6.1. OASIS: Online Answering System with Intelligent Sentience6.2. QA system for a ebook6.3. Airlines Website6.4. Natural Language HMI to Yellow Pages6.4.1. History6.4.2. System Overview6.4.3. Advantage of a userfriendly Natural Language Interface6.5. KisanMitra: A HMI For Rural Indian Farmers6.5.1. Background6.5.2.Introduction6.5.3. QA Systems as Pattern Matching Systems6.5.4. Our Approach7. Conclusions8. References9. Appendix9.1. Example Taxonomy Tree9.2. Sample HMI (ebook on Fitness)9.3. Types of Questions9.3.1. Tractable (Type 1)9.3.2. Intractable (Type 2)

Dr. Paranandi Venkata Suryanarayana Rao, is an Indian computer scientist, known for his research in the fields of speech and script recognition, who has contributed to the development of TIFRAC, the first indigenously developed electronic computer in India. He is a recipient of various awards, such as the IEEE Third Millennium Medal, Vikram Sarabhai Award, Om Prakash Bhasin Award and the VASVIK Industrial Research Award. The Government of India awarded him the fourth highest civilian honour of Padma Shri in 1987. He graduated in science from Utkal University in 1953 and received a master's degree in science (Physics) from Banaras Hindu University in 1955. Rao joined Tata Institute of Fundamental Research (TIFR) in the department of computer R&D in 1955 until retirement. He subsequently built the Cognitive Systems Research Laboratory in the capacity of a research advisor with Tata Infotech. He was also a research advisor to Satyam and Tata Consultancy Services. He obtained a doctoral degree in Physics from the University of Mumbai for his work on the display of text and graphics on computer screens.Dr. Sunil Kumar Kopparapu obtained his doctoral degree in Electrical Engineering from the Indian Institute of Technology, Bombay, India in 1997. His thesis "Modular integration for low-level and high-level vision problems in a multi-resolution framework" provided a broad framework to enable reliable and fast vision processing. In his current role as a Principal Scientist with the TCS Innovations Labs - Mumbai, he is actively working in the areas of speech, script, image and natural language processing with a focus on building usable systems for mass use in Indian conditions. He has also coauthored a book titled Bayesian Approach to Image Interpretation and more recently a Springer Brief on Non-linguistic Analysis of Call Center Conversation and Analyzing Emotions in Spontaneous Speech in addition to several journal and conference publications; he also holds a number of