Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications
Nonfiction, Science & Nature, Mathematics, Statistics
| Author: | C.R. Rao, Venkat N. Gudivada | ISBN: | 9780444640437 |
| Publisher: | Elsevier Science | Publication: | August 27, 2018 |
| Imprint: | North Holland | Language: | English |
| Author: | C.R. Rao, Venkat N. Gudivada |
| ISBN: | 9780444640437 |
| Publisher: | Elsevier Science |
| Publication: | August 27, 2018 |
| Imprint: | North Holland |
| Language: | English |
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.
- 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
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.
- 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
