Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications Handbook of Statistics Series

Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, Inference and Prediction Methods, Random Processes, Bayesian Methods, Machine Learning, Artificial Neural Networks for Natural Language Processing, Information Retrieval, Language Core Tasks, Language Understanding Applications, and more.

The synergistic confluence of linguistics, statistics, big data, and high-performance computing is the underlying force for the recent and dramatic advances in analyzing and understanding natural languages, hence making this series all the more important.

1. Linguistics: Core Concepts and Principles 2. Grammars 3. Open-Source Libraries, Application Frameworks, Workflow Systems, and Other Resources 4. Mathematical Essentials 5. Probability 6. Inference and Prediction Methods 7. Random Processes 8. Bayesian Methods 9. Machine Learning 10. Artificial Neural Networks for Natural Language Processing 11. Information Retrieval 12. Language Core Tasks 1 13. Language Core Tasks 2 14. Language Understanding Applications 1 15. Language Understanding Applications 2 16. Deep Learning for Natural Language Processing 17. Text Mining for Modeling Cyberattacks 18. World Languages and Crosslinguistics 19. Linguistic Elegance of the Languages of South India 20. Current Trends and Open Problems

This monograph is intended to fill the dire need for a scholarly compendium of recent research, transformational and non-traditional applications of natural language understanding. It is intended to serve as an authoritative reference and handbook for industry practitioners, educators, and students alike. The intended audience for the monograph are industry practitioners, researchers, educators, graduate and undergraduate students.

The monograph is unique and one of its kind. It unifies linguistics theory, statistical methods, machine learning algorithms, and high-performance computing, which are essential to gain insights into current approaches to natural language processing and understanding. Researchers will benefit from a cohesive and integrated body of knowledge drawn from the underlying disciplines. It will provide them an accessible and convenient resource to quickly learn the state-of-the-art. Many universities are introducing courses in natural language understanding in the backdrop of the immense popularity of IBM Watson, a question-answering system that won Jeopardy! game championship in 2011. This is in contrast with only select research-intensive universities which offered courses in this area until recently. The monograph is suitable for teaching classes at both graduate and undergraduate levels.

Several open-source datasets, libraries, application frameworks, and workflow systems are discussed. These resources are valuable for readers who want to engage in experimentation for deepening their understanding.

C. R. Rao is a world famous statistician who earned a place in the history of statistics as one of those “who developed statistics from its adhoc origins into a firmly grounded mathematical science.”

He was employed at the Indian Statistical Institute (ISI) in 1943 as a research scholar after obtaining an MA degree in mathematics with a first class and first rank from Andhra University in1941 and MA degree in statistics from Calcutta University in 1943 with a first class, first rank, gold medal and record marks which remain unbroken during the last 73 years.

“At the age of 28 he was made a full professor at ISI in recognition of his creativity.” While at ISI, Rao went to Cambridge University (CU) in 1946 on an invitation to work on an anthropometric project using the methodology developed at ISI. Rao worked in the museum of archeology and anthropology in Duckworth laboratory of CU during 1946-1948 as a paid visiting scholar. The results were reported in the book “Ancient Inhabitants of Jebel Moya” published by the Cambridge Press under the joint authorship of Rao and two anthropologists. On the basis of work done at CU during the two year period, 1946-1948, Rao earned a Ph.D. degree and a few years later Sc.D. degree of CU and the rare honor of life fellowship of Kings College, Cambridge.

He retired from ISI in 1980 at the mandatory age of 60 after working for 40 years during which period he developed ISI as an international center for statistical education and research. He also took an active part in establishing state statistical bureaus to collect local statistics and transmitting them to Central Statistical Organization in New Delhi. Rao played a pivitol role in launching undergraduate and postgraduate courses at ISI. He is the author of 475 research publications and several breakthrough papers contributing to statistical theory and methodology for applications to problems in all areas of human endeavor. There are a number of classical sta

• Provides a thorough treatment of open-source libraries, application frameworks and workflow systems for natural language analysis and understanding
• Presents new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, and more