Natural Language Processing (NLP)

Sophisticated machine learning foundations lie behind it, one of which is natural language processing (NLP). Nitin Indurkhya, a leading authority on NLP, will present his online course on NLP at Statistics.com. For more details please visit at http://www.statistics.com/language.

"Natural Language Processing" will introduce you to the algorithms, techniques and software used in the rapidly growing field of natural language processing (NLP).  You will learn about existing applications, particularly speech understanding, information retrieval, machine translation and information extraction.

NLP draws heavily on work in computational linguistics and artificial intelligence. The course textbook will provide the necessary background in linguistics and computer science for those students who need it.  In this course only a portion of the textbook will be covered, however anyone going on to do further studies in NLP will find the textbook a very useful reference.

At the completion of the course, you should be able to read the description of an NLP application and have an idea of how it is done, what the likely weaknesses are, and often which claims are probably exaggerated. The course also prepares students to do further work in NLP by giving them a good grasp of the basic concepts.

Who can take this course:

Analysts, researchers and managers who deal with, or might need to deal with, NLP systems at a variety of levels - needs assessment, design, deployment and operation.

Course Program:

Course outline: The course is structured as follows

SESSION 1: Introduction of NLP and Word-level Analysis

• Overview of NLP
• Text Preprocessing
• Corpus Creation
• Fundamental Statistical Techniques in NLP (review)
• Lexical Analysis

SESSION 2: Sentence-level Processing

• Part-of-Speech Tagging
• Context-Free Grammars (CFG)
• Parsing of sentences with CFG
• Statistical parsing methods

SESSION 3: Semantics

• Representation of Meaning
• Semantic Analysis
• Word Sense Disambiguation

SESSION 4: Applications of NLP

• Information Retrieval
• Information Extraction
• Speech Recognition Systems
• Natural Language Generation

Nitin Indurkhya, co-author of "Text Mining" (Springer) and co-editor of the "Handbook of Natural Language Processing" (CRC), was also Principal Research Scientist at eBay and Professor at the School of Computer Science and Engineering, University of New South Wales (Australia), as well as the founder and president of Data-Miner Pty Ltd, an Australian company engaged in data-mining consulting and education.

You will be able to ask questions and exchange comments with the instructors via a private discussion board throughout the course.   The courses take place online at statistics.com in a series of 4 weekly lessons and assignments, and require about 15 hours/week.  Participate at your own convenience; there are no set times when you must be online. You have the flexibility to work a bit every day, if that is your preference, or concentrate your work in just a couple of days.

For Indian participants statistics.com accepts registration for its courses at special prices in Indian Rupees through its partner, the Center for eLearning and Training (C-eLT), Pune.

For India Registration and pricing, please visit us at www.india.statistics.com.

Email: info@c-elt.com

Call: 020 66009116

Websites:

www.india.statistics.com

www.c-elt.com