Linguistic Programmig

The Very First Applicable And Theoretical Course On Neuro Linguistic Programming. Apply Neuro Linguistic Programming.

Be a Winner - Learn how to use NLP - Be a NLP Master Practitioner

This book proposes a novel CWW model to personalize individual semantics in linguistic decision making, based on two new concepts: numerical scale and consistency-driven methodology. The numerical scale model provides a unified framework to connect different linguistic symbolic computational models for CWW, and the consistency-driven methodology customizes individuals’ semantics to support linguistic group decision making by setting personalized numerical scales. The book is a valuable resource for researchers and postgraduates who are interested in CWW in linguistic decision making.

The Very First Applicable And Theoretical Course On Neuro Linguistic Programming. Apply Neuro Linguistic Programming

“The author’s call to action- that it is incumbent on linguists to work towards societal change- is one we should heed. Hercula encourages linguists to refocus the introductory linguistics course to not only educate about how language works and how linguists study it, but to work more deeply to change attitudes towards stigmatized language varieties by in-depth investigation of those varieties, ensuring that everyone goes away with enduring understanding and a desire to change the world.” –Kristin Denham, Western Washington University, USA

Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod­ els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe­ matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com­ puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter­ net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model­ ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.