The 99-Names Coordinate System: A Fitted Relational Basis for Classical Arabic in CAMeLBERT-ca

A methodology and resource for incorporating a documented scholarly relational structure as a fitted coordinate basis on the contextual embedding space of CAMeLBERT-ca. Distributional similarity tools (cosine, k-NN, contextual embedding distance) cannot reliably resolve fine-grained relational distinctions in classical Arabic vocabulary: near-synonyms, speech-act variants, and categorically distinct emotions collapse into a narrow cosine band (0.865–0.937) that carries no information about the kind of relationship each pair has. We use the 99 Names of God — a closed, well-attested set with hierarchical, root-family, morphological, and documented opposition relations as a coordinate-defining basis, treating it as a methodological instrument rather than a theological commitment. Arabic terms are projected into the basis via CAMeLBERT-ca embeddings followed by Poincaré-disk reduction, yielding a position, hierarchical tier, attractor profile, and repellor profile for each term. Six empirical case studies demonstrate distinctions the cosine baseline cannot make. The release includes the exact 99-entry, 30-field basis source used by the deployed engine (with field-level evidential-status labels), the fitted Poincaré coordinates, machine-readable metadata, a schema validator, the engine code, and a live MCP server exposing five operations. The methodology generalises to any documented relational structure in any language given an appropriate contextual embedding model.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-18
DOI
https://doi.org/10.5281/zenodo.20739416
Primary Topic
Natural Language Processing Techniques
Type
preprint
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preprint

The 99-Names Coordinate System: A Fitted Relational Basis for Classical Arabic in CAMeLBERT-ca

Ahmed Mislati
Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
preprint

The 99-Names Coordinate System: A Fitted Relational Basis for Classical Arabic in CAMeLBERT-ca

Ahmed Mislati
preprint en

Abstract

A methodology and resource for incorporating a documented scholarly relational structure as a fitted coordinate basis on the contextual embedding space of CAMeLBERT-ca. Distributional similarity tools (cosine, k-NN, contextual embedding distance) cannot reliably resolve fine-grained relational distinctions in classical Arabic vocabulary: near-synonyms, speech-act variants, and categorically distinct emotions collapse into a narrow cosine band (0.865–0.937) that carries no information about the kind of relationship each pair has. We use the 99 Names of God — a closed, well-attested set with hierarchical, root-family, morphological, and documented opposition relations as a coordinate-defining basis, treating it as a methodological instrument rather than a theological commitment. Arabic terms are projected into the basis via CAMeLBERT-ca embeddings followed by Poincaré-disk reduction, yielding a position, hierarchical tier, attractor profile, and repellor profile for each term. Six empirical case studies demonstrate distinctions the cosine baseline cannot make. The release includes the exact 99-entry, 30-field basis source used by the deployed engine (with field-level evidential-status labels), the fitted Poincaré coordinates, machine-readable metadata, a schema validator, the engine code, and a live MCP server exposing five operations. The methodology generalises to any documented relational structure in any language given an appropriate contextual embedding model.

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