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Representational systems (also abbreviated to VAKOG [1]) is a postulated model from neuro-linguistic programming, [2] a collection of models and methods regarding how the human mind processes and stores information. The central idea of this model is that experience is represented in the mind in sensorial terms, i.e. in terms of the putative ...
The methods of neuro-linguistic programming are the specific techniques used to perform and teach neuro-linguistic programming, [1] [2] which teaches that people are only able to directly perceive a small part of the world using their conscious awareness, and that this view of the world is filtered by experience, beliefs, values, assumptions, and biological sensory systems.
n-gram – sequence of n number of tokens, where a "token" is a character, syllable, or word. The n is replaced by a number. Therefore, a 5-gram is an n-gram of 5 letters, syllables, or words. "Eat this" is a 2-gram (also known as a bigram). Bigram – n-gram of 2 tokens. Every sequence of 2 adjacent elements in a string of tokens is a bigram.
[1] [2] According to Bandler and Grinder, NLP can treat problems such as phobias, depression, tic disorders, psychosomatic illnesses, near-sightedness, [a] allergy, the common cold, [a] and learning disorders, [3] [4] often in a single session. They also say that NLP can model the skills of exceptional people, allowing anyone to acquire them.
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.
As an illustrative example, consider the sentence "my dog is cute". It would first be divided into tokens like "my 1 dog 2 is 3 cute 4". Then a random token in the sentence would be picked. Let it be the 4th one "cute 4". Next, there would be three possibilities: with probability 80%, the chosen token is masked, resulting in "my 1 dog 2 is 3 ...
The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as language detection, tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing and coreference resolution.
Beginner Books is the Random House imprint for young children ages 3–9, co-founded by Phyllis Cerf with Ted Geisel, more often known as Dr. Seuss, and his wife Helen Palmer Geisel. Their first book was Dr. Seuss's The Cat in the Hat (1957), whose title character appears in the brand's logo.