Natural Language Processing

Written by Yvette Dubel
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What is natural language processing? It's a specialization within artificial intelligence that ventures to represent the collective interpretation of language. It assumes there is a scientific perspective that can be expressed using natural linguistic processing techniques. The nature of this scientific reality centers on grammatical patters and a conceptual relationship to language.

The final goal of natural linguistic processing is to seek the means for computer logic to begin interpretation of artificial languages. The roots of natural language processing reside in semiotics, also known as the study of signs. The sections of significance are pragmatics, semantics, and syntax.

Enlarged Perspective

If followed through to its completion, there are at least seven levels of information to contend with. Here, the first four main ones are mentioned. A complete natural-language processor extracts meaning from language on at least seven levels. From this perspective, morphological analysis is most appropriate. The smallest part of a word that carries a discrete meaning is a morpheme. This kind of language processor understands more than one form of a word.

On the other hand, semantic analysis employing natural language processors get a dictionary definition by evaluating the word's context. The syntactic study reveals structural information and word relationships. Meaning derived from external common-sense information is the result of pragmatic analysis.

With artificial intelligence having become a reality, the future for natural linguistic processing looks promising. Now that the need for indexing exponentially growing collections is becoming more obvious in terms of demands on web crawlers, there are promising opportunities to develop natural linguistic processing. This would certainly advance the tools available to manage information and data querying.


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