Attribution guided expert routing in sparse modular architectures for explainable multilingual neural machine translation

Abstract Multilingual neural machine translation (MNMT) plays a crucial role in extending language technologies to underrepresented and linguistically diverse regions. However, existing MNMT systems remain opaque, particularly when applied to structurally divergent and low-resource languages such as...

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Autori principali:	Basab Nath, Yonis Gulzar, Badamasi Imam Ya’u, Mohammad Shuaib Mir
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2026-05-01
Serie:	Discover Artificial Intelligence
Soggetti:	Transformer models Post-hoc interpretability LIME Low-resource languages
Accesso online:	https://doi.org/10.1007/s44163-026-01371-4
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