Ordering Dominance in Low-Data NMT Regimes: Corpus Sequencing Outperforms Contradiction Magnitude (Part I: Structural Ablation Evidence)
Year: 2026
Type: article
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.
Authors: Kuzmenko, Yurii, Trofimova, Olena
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7154687995
FWCI:
Cites:
Cited by:
Related to: