Working paper2025–2026Archive record
Linguistic Symbolism and Meaning Compression in Machine Learning
Abstract
Explores the gap between linguistic fluency and semantic grounding by examining how symbolic structures are compressed in representation learning.
meaninggroundingphilosophy of language
Status of this record
This record is filed as working paper and carries the status “Working paper”. The archive states the stage of an argument instead of presenting drafts as settled results, so a reader can judge how much weight the text is meant to carry.
Citation
Ziganshin, A. (2025–2026). Linguistic Symbolism and Meaning Compression in Machine Learning. Traceremove Research. https://traceremove.dev/publications/linguistic-symbolism-meaning-compression