El Canvi Lingüístic

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 provides a refreshingly new perspective for investigating linguistic texts, which foregrounds models of the human. It presents a close reading of major linguistic theories in the twentieth century with a focus on three main themes: linguistic system and the individual speaker; social order; and linguistic creativity. The examination of these three fundamental themes concerning language and human nature, on the one hand, provides a fine-textured exposition on the implicit and explicit models of human nature endorsed by major theorists; on the other, it reveals the methodological dilemmas faced by linguistics. In light of the fact that the importance of considering posthumanist ideas is increasingly being underscored today, both within and outside linguistics, this focus on the human makes the book highly topical.

by Emily M Bender (Author), Alex Lascarides (Author), Graeme Hirst (Editor)
Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG).

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.