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Flow_ MTL-to-Human Story Translator

Year: 2025

Type: article

Abstract: To enable AI to generate human-readable stories from structured Machine Thought Language (MTL), we need a translator that reconstructs narratives fluently while preserving logic and meaning. This document outlines the prototype for an MTL-to-Human Story Translator, ensuring AI-generated content is coherent, expressive, and adaptable.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15072770

Author: Krishnakumar Kannan

Language: English

Topic: Artificial Intelligence in Games

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6949669058

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