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Natural language processing.

A K Joshi

    Science (New York, N.Y.)
    |September 13, 1991
    PubMed
    Summary
    This summary is machine-generated.

    Natural language processing (NLP) models language computationally, creating systems for speech, translation, and databases. This interdisciplinary field integrates computer science, linguistics, and psychology for advanced language understanding.

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    Area of Science:

    • Computer Science
    • Linguistics
    • Cognitive Science

    Background:

    • Natural language processing (NLP) involves the computational modeling of human language.
    • It encompasses diverse applications such as speech systems, machine translation, and intelligent interfaces.
    • NLP research is inherently interdisciplinary, drawing from computer science, linguistics, logic, and psychology.

    Purpose of the Study:

    • To define the scope and interdisciplinary nature of Natural Language Processing (NLP).
    • To highlight the role of NLP in computational linguistics and artificial intelligence.
    • To outline key applications and research areas within NLP.

    Main Methods:

    • Computational modeling of linguistic features.
    • Interdisciplinary research integrating computer science, linguistics, logic, and psychology.

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  • Development of diverse language-based systems.

    • Main Results:

    • Established NLP as a field focused on mathematical and computational language modeling.
    • Identified key applications including spoken language systems, machine translation, and intelligent interfaces.
    • Emphasized the interdisciplinary foundation of NLP research.

    Conclusions:

    • NLP is a crucial field for computationally modeling language.
    • Its interdisciplinary nature drives innovation in artificial intelligence and human-computer interaction.
    • NLP enables the development of sophisticated language understanding and generation systems.