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relationship with adjacent and related words in a phrase, sentence, or paragraph.

An Artificial Neural Network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks.

A neural network consists of an interconnected group of artificial neurons, and it processes information using a connectionist approach to computation.

MATLAB (matrix laboratory) is a numerical computing environment and fourth-generation programming language.

Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages.

Specifically, it is the process of a computer extracting meaningful information from natural language input and/or producing natural language output.

In theory, natural language processing is a very attractive method of human¿computer interaction.

Shallow parsing (also chunking, "light parsing") is an analysis of a sentence which identifies the constituents, but does not specify their internal structure, nor their role in the main sentence.

It is a technique widely used in natural language processing.

It is similar to the concept of lexical analysis for computer languages.

Semantic role labeling, sometimes also called shallow semantic parsing, is a task in natural language processing consisting of the detection of the semantic arguments associated with the predicate or verb of a sentence and their classification into their specific roles.

In corpus linguistics, part-of-speech tagging (POS tagging or POST), also called grammatical tagging or word-category disambiguation, is the process of marking up a word in a text (corpus) as corresponding to a particular part of speech, based on both its definition, as well as its context¿i.e.

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