Ordering Dominance in Low-Data NMT Regimes: Corpus Sequencing Outperforms Contradiction Magnitude (Part I: Structural Ablation Evidence)

This work demonstrates that, under a fully controlled low-data EN→UA NMT protocol (N = 142), deterministic corpus ordering acts as the dominant structural driver within the tested regime. In a single-factor ablation with model, tokenizer, LoRA, seeds, and corpus content held constant, altering only corpus sequencing produces reproducible degradation in chain-level coherence, including boundary amplification (~11.6%), while entropy remains invariant. Under the same protocol, contradiction magnitude (ΔV) does not emerge as a dominant driver. Corpus organization is an active structural variable in low-data NMT — not a preprocessing detail. This finding motivates the layered diagnostic architecture described in the companion series. All results are strictly bounded to the fixed low-data protocol. No generalization beyond this setting is claimed.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-17
DOI
https://doi.org/10.5281/zenodo.19396446
Primary Topic
Genomics and Rare Diseases
Type
article
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article

Ordering Dominance in Low-Data NMT Regimes: Corpus Sequencing Outperforms Contradiction Magnitude (Part I: Structural Ablation Evidence)

Yurii Kuzmenko, Олена Трофимова
Zenodo (CERN European Organization for Nuclear Research)
Genomics and Rare Diseases
article

Ordering Dominance in Low-Data NMT Regimes: Corpus Sequencing Outperforms Contradiction Magnitude (Part I: Structural Ablation Evidence)

Yurii Kuzmenko, Олена Трофимова
article en

Abstract

This work demonstrates that, under a fully controlled low-data EN→UA NMT protocol (N = 142), deterministic corpus ordering acts as the dominant structural driver within the tested regime. In a single-factor ablation with model, tokenizer, LoRA, seeds, and corpus content held constant, altering only corpus sequencing produces reproducible degradation in chain-level coherence, including boundary amplification (~11.6%), while entropy remains invariant. Under the same protocol, contradiction magnitude (ΔV) does not emerge as a dominant driver. Corpus organization is an active structural variable in low-data NMT — not a preprocessing detail. This finding motivates the layered diagnostic architecture described in the companion series. All results are strictly bounded to the fixed low-data protocol. No generalization beyond this setting is claimed.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 5%
Genomics and Rare Diseases
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