{"slug": "a-primer-on-computational-semantics-for-artificial-intelligence-systems", "title": "A Primer on Computational Semantics for Artificial Intelligence Systems", "summary": "A new academic primer on computational semantics for AI systems, submitted to arXiv on 25 Aug 2026, explains how transformer-based language models like ChatGPT and Gemini learn and represent linguistic meaning, contrasting formal, grounded, and distributional semantic theories with human language acquisition. The document aims to inform users about the nature of language and the differences between AI and human learning.", "body_md": "# Computer Science > Computation and Language\n\n[Submitted on 25 Aug 2026]\n\n# Title:A Primer on Computational Semantics for Artificial Intelligence Systems\n\n[View PDF](/pdf/2608.25022)\n\nAbstract:As people adopt transformer-based language models (e.g., ChatGPT and Gemini) for an increasing number of use-cases, it is important to know how such models learn and represent the meaning of the language, and to be more informed about what language is. This document is an attempt to help the reader understand how linguistic meaning (i.e., semantics) is approached from different fields of scientific and philosophical examination. I also explain three primary semantic theories: formal semantics, grounded semantics, and distributional semantics then compare how transformer-based language models differ from how humans learn language.\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer\n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers\n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps\n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations\n\n*(*[What are Smart Citations?](https://www.scite.ai/))# Code, Data and Media Associated with this Article\n\nalphaXiv\n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers\n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub\n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub\n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face\n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast\n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower\n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender\n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [ Learn more about arXivLabs](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/a-primer-on-computational-semantics-for-artificial-intelligence-systems", "canonical_source": "https://arxiv.org/abs/2608.25022", "published_at": "2026-08-27 04:00:00+00:00", "updated_at": "2026-08-27 04:19:56.934745+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "natural-language-processing", "ai-research"], "entities": ["arXiv", "ChatGPT", "Gemini"], "alternates": {"html": "https://wpnews.pro/news/a-primer-on-computational-semantics-for-artificial-intelligence-systems", "markdown": "https://wpnews.pro/news/a-primer-on-computational-semantics-for-artificial-intelligence-systems.md", "text": "https://wpnews.pro/news/a-primer-on-computational-semantics-for-artificial-intelligence-systems.txt", "jsonld": "https://wpnews.pro/news/a-primer-on-computational-semantics-for-artificial-intelligence-systems.jsonld"}}