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Related Experiment Video

Updated: May 29, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

A microcomputer system for processing natural languages.

J W Smith¹, A L Tharp

¹Department of Computer Science, North Carolina State University, Raleigh, NC 27650.

IEEE Transactions on Pattern Analysis and Machine Intelligence

|August 27, 2011

Summary

This summary is machine-generated.

This study introduces ¿BE, a microprocessor-based English system for natural language processing. It enhances computational linguistics research by providing specialized hardware for hashing and parsing, aiding diverse language investigations.

Related Experiment Videos

Last Updated: May 29, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

Area of Science:

Computational Linguistics
Computer Science
Artificial Intelligence

Background:

Natural language processing (NLP) requires significant computational power.
Existing systems may be limited by theoretical frameworks.

Purpose of the Study:

To describe the ¿BE (microprocessor-based English) system for NLP.
To demonstrate the utility of microprocessors as specialized hardware for NLP tasks.
To provide a flexible platform for computational linguistics research.

Main Methods:

Development of a microcomputer system (¿BE) utilizing microprocessors for key NLP functions.
Implementation of specialized hardware for hashing and parsing.
Design for extensibility to multiple languages.

Main Results:

¿BE effectively uses microprocessors to increase computational power for NLP.
The system provides detailed discussions of its hashing and parsing components.
Demonstrated applications in computational linguistics.

Conclusions:

The ¿BE system offers a powerful and flexible tool for computational linguists.
Its design supports investigations into various linguistic theories.
The system's architecture is adaptable for future NLP advancements.