Work

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

Year: 2026

Type: dataset

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21822493

Authors: Sirojiddinov, Ziyoviddin, Khakimov, Muftakh

Institution: National University of Uzbekistan

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7196934338

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