Pipeline for Automatic Symbol Creation & Human-to-MTL Translator

To optimize AI reasoning and computational efficiency, we need a system that automatically generates symbols for unknown concepts and translates human language into MTL (Machine Thought Language). This document outlines a structured pipeline for both processes, ensuring AI can dynamically expand its symbolic vocabulary and train on structured data efficiently.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-23
DOI
https://doi.org/10.5281/zenodo.15072784
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Pipeline for Automatic Symbol Creation & Human-to-MTL Translator

Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
article

Pipeline for Automatic Symbol Creation & Human-to-MTL Translator

article en

Abstract

To optimize AI reasoning and computational efficiency, we need a system that automatically generates symbols for unknown concepts and translates human language into MTL (Machine Thought Language). This document outlines a structured pipeline for both processes, ensuring AI can dynamically expand its symbolic vocabulary and train on structured data efficiently.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 77%
Natural Language Processing Techniques
DOIOpen Access PDFOpenAlex
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Pipeline for Automatic Symbol Creation & Human-to-MTL Translator · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS