Just Ask! Evaluating Machine Translation by Asking and Answering Questions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440549" target="_blank" >RIV/00216208:11320/21:10440549 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2021.wmt-1.pdf" target="_blank" >https://aclanthology.org/2021.wmt-1.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Just Ask! Evaluating Machine Translation by Asking and Answering Questions
Original language description
In this paper, we show that automatically-generated questions and answers can be used to evaluate the quality of Machine Translation systems. Building on recent work on the evaluation of abstractive text summarization, we propose a new metric for system-level Machine Translation evaluation, compare it with other state-of-the-art solutions, and show its robustness by conducting experiments for various translation directions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2021
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 Sixth Conference on Machine Translation
ISBN
978-1-954085-94-7
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
495-506
Publisher name
Association for Computational Linguistics
Place of publication
Online
Event location
Online
Event date
Nov 10, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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