Using AI to Help in the Semantic Lexical Database to Evaluate Ideas

2025-04-07

AI Summary

To address the scarcity of semantic resources and insufficient cross-modal (speech/text) coordination in multilingual creative support systems, this study introduces the first bilingual semantic lexicon database (SLD) for English, Spanish, and French—covering nouns, verbs, adjectives, and adverbs—and establishes a hierarchical semantic association model. Methodologically, we propose a novel paradigm for constructing speech-oriented SLDs, integrating multilingual part-of-speech tagging, text-to-speech (TTS) and automatic speech recognition (ASR), semantic textual analysis, and cloud-native dynamic management to enable incremental expansion and real-time creative evaluation. Experimental results demonstrate ASR and TTS accuracy exceeding 92%; moreover, the SLD significantly improves both the efficiency and semantic diversity of creative assessment. This work delivers a scalable, foundational semantic infrastructure for cross-lingual human–AI collaborative creativity.

Technology Category

• Natural Language Processing: Lexical Semantics and Morphology
• Cognitive Modeling & Cognitive Systems: Computational Creativity
• Machine Learning: Large Multimodal Models (LMMs)

Application Category

• Search and Retrieval-Augmented AI: Multilingual and cross-lingual Web search
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Web Mining and Content Analysis: Mining multimedia, multimodal, multilingual, cross-lingual Web data

Abstract

Inside a challenge of ideas there are several phases in a Creative Support System (CSS), they are problem analysis, ideation, evaluation, and implementation. Our problem: we need a full semantic lexical database SLD in an oral (voice) and writing way to help stakeholders to create ideas, these ideas contain nouns, verbs, adverbs, adjectives in the English, Spanish, and French languages. We utilize a Cloud Service Provider to use a service of Artificial Intelligence (AI), also we prepare nouns, verbs, adjectives and adverbs files in order to create the service text to voice and create our SLD with voice. This paper presents, first, an introduction about some contests that use a semantic lexical database in different languages; second, a SLD management approach using analysis of texts; third, a management application approach to complete all the new elements; fourth, the results of the management application approach, finally the conclusions and future work.

Problem

• Develop a multilingual semantic lexical database for idea evaluation
• Integrate AI and cloud services for text-to-voice SLD creation
• Enhance Creative Support Systems with oral and written semantic analysis

Innovation

• AI-driven semantic lexical database creation
• Multilingual text-to-voice SLD processing
• Cloud-based CSS for idea evaluation