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With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10476133" target="_blank" >RIV/00216208:11320/23:10476133 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector

  • Original language description

    This work presents our efforts to reproduce the results of the human evaluation experiment presented in the paper of Vamvas and Sennrich (2022), which evaluated an automatic system detecting over- and undertranslations (translations containing more or less information than the original) in machine translation (MT) outputs. Despite the high quality of the documentation and code provided by the authors, we discuss some problems we found in reproducing the exact experimental setup and offer recommendations for improving reproducibility. Our replicated results generally confirm the conclusions of the original study, but in some cases statistically significant differences were observed, suggesting a high variability of human annotation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems

  • ISBN

    978-954-452-088-5

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    145-152

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Varna, Bulgaria

  • Event location

    Varna, Bulgaria

  • Event date

    Sep 7, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article