Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task

1 code implementation • WMT (EMNLP) 2021 • Ricardo Rei, Ana C Farinha, Chrysoula Zerva, Daan van Stigt, Craig Stewart, Pedro Ramos, Taisiya Glushkova, André F. T. Martins, Alon Lavie

In this paper, we present the joint contribution of Unbabel and IST to the WMT 2021 Metrics Shared Task.

IST-Unbabel 2021 Submission for the Quality Estimation Shared Task

no code implementations • WMT (EMNLP) 2021 • Chrysoula Zerva, Daan van Stigt, Ricardo Rei, Ana C Farinha, Pedro Ramos, José G. C. de Souza, Taisiya Glushkova, Miguel Vera, Fabio Kepler, André F. T. Martins

We present the joint contribution of IST and Unbabel to the WMT 2021 Shared Task on Quality Estimation.

Better Uncertainty Quantification for Machine Translation Evaluation

1 code implementation • 13 Apr 2022 • Chrysoula Zerva, Taisiya Glushkova, Ricardo Rei, André F. T. Martins

Neural-based machine translation (MT) evaluation metrics are progressing fast.

Machine Translation Translation

Uncertainty-Aware Machine Translation Evaluation

2 code implementations • Findings (EMNLP) 2021 • Taisiya Glushkova, Chrysoula Zerva, Ricardo Rei, André F. T. Martins

Several neural-based metrics have been recently proposed to evaluate machine translation quality.

Machine Translation Translation

Char-RNN and Active Learning for Hashtag Segmentation

no code implementations • 8 Nov 2019 • Taisiya Glushkova, Ekaterina Artemova

We explore the abilities of character recurrent neural network (char-RNN) for hashtag segmentation.

Active Learning