Quality and Quantity of Machine Translation References for Automatic Metrics

2 January 2024

Papers citing "Quality and Quantity of Machine Translation References for Automatic Metrics"

10 / 10 papers shown

Title
AI-Assisted Human Evaluation of Machine Translation Vilém Zouhar Tom Kocmi Mrinmaya Sachan 102 7 0 18 Jun 2024
Onception: Active Learning with Expert Advice for Real World Machine Translation Vania Mendoncca Ricardo Rei Luísa Coheur Alberto Sardinha INESC-ID Lisboa 61 7 0 09 Mar 2022
Neural Machine Translation Quality and Post-Editing Performance Vilém Zouhar Alevs Tamchyna Martin Popel Ondrej Bojar 60 20 0 10 Sep 2021
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation Tom Kocmi C. Federmann Roman Grundkiewicz Marcin Junczys-Dowmunt Hitokazu Matsushita Arul Menezes 86 210 0 22 Jul 2021
BLEU might be Guilty but References are not Innocent Markus Freitag David Grangier Isaac Caswell 60 149 0 13 Apr 2020
BLEURT: Learning Robust Metrics for Text Generation Thibault Sellam Dipanjan Das Ankur P. Parikh 103 1,506 0 09 Apr 2020
A Call for Clarity in Reporting BLEU Scores Matt Post 181 2,998 0 23 Apr 2018
Dynamic Data Selection for Neural Machine Translation M. V. D. Wees Arianna Bisazza Christof Monz 95 154 0 02 Aug 2017
A Challenge Set Approach to Evaluating Machine Translation P. Isabelle Colin Cherry George F. Foster ELM AAML 57 176 0 24 Apr 2017
CIDEr: Consensus-based Image Description Evaluation Ramakrishna Vedantam C. L. Zitnick Devi Parikh 306 4,511 0 20 Nov 2014