Robuta

M. Amin Farajian, Marco Turchi, Matteo Negri, Marcello Federico. Proceedings of the Second Conference on Machine Translation. 2017.

Yong Cheng, Ankur Bapna, Orhan Firat, Yuan Cao, Pidong Wang, Wolfgang Macherey. Proceedings of the 60th Annual Meeting of the Association for Computational...

Xinyi Wang, Graham Neubig. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019.

01/15/18 - Given the rise of a new approach to MT, Neural MT (NMT), and its promising performance on different text types, we assess the tran...

08/09/16 - Attention-based Neural Machine Translation (NMT) models suffer from attention deficiency issues as has been observed in recent res...

Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Meng Zhang. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and...

Neural Machine Translation (NMT) models are known to suffer from noisy inputs. To make models robust, we generate adversarial augmentation samples that attack...

Ruikang Shi, Alvin Grissom II, Duc Minh Trinh. Proceedings of the 29th International Conference on Computational Linguistics. 2022.

Ryo Sekizawa, Nan Duan, Shuai Lu, Hitomi Yanaka. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student...

Abstract page for arXiv paper 2412.18669: Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency

Vikas Raunak, Roman Grundkiewicz, Marcin Junczys-Dowmunt. Proceedings of the Ninth Conference on Machine Translation. 2024.

Abstract page for arXiv paper 1508.04025: Effective Approaches to Attention-based Neural Machine Translation

Antonios Anastasopoulos, Alison Lui, Toan Q. Nguyen, David Chiang. Proceedings of the 2019 Conference of the North American Chapter of the Association for...