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Uzbek–English MT: Pre-Registered Blind Human Evaluation (corpus, outputs, ratings, scripts)

Domaine:

natural language processing

Type de record:

dataset
Créateur:
SirKha
Éditeur:
Zenodo
Hôte:avatar

Evaluation materials accompanying the paper "What Single-Reference BLEU Cannot Show: A Pre-Registered Blind Human Evaluation of Uzbek–English Machine Translation". Contains the frozen 72-sentence corpus (three stylistic layers), 216 system outputs, the blinding key, anonymized human ratings from two independent raters, per-item BLEU/chrF scores, the frozen primary analysis script, and the dated preregistration plan with amendments.

Visit

doi.org

Tasks

machine translation

Languages

Ndasa

Licenses

info:eu-repo/semantics/openAccessMIT Licensehttps://opensource.org/licenses/MIT

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