Ondřej Bojar

Findings of the 2018 Conference on Machine Translation (WMT18)

2018

Ondřej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Christof Monz. Proceedings of the Third Conference on Machine Translation: Shared Task Papers. 2018.

Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed

2019 · Institute of Formal and Applied Linguistics (ÚFAL)

The utility of linguistic annotation in neural machine translation seemed to had been established in past papers. The experiments were however limited to recurrent sequence-to-sequence architectures and relatively small data settings.\n\nWe focus on the state-of-the-art …

CUNI systems for WMT21: Terminology translation Shared Task

2021 · arXiv (Cornell University)

This paper describes Charles University submission for Terminology translation Shared Task at WMT21. The objective of this task is to design a system which translates certain terms based on a provided terminology database, while preserving …

Sentence Ambiguity, Grammaticality and Complexity Probes

2022 · arXiv (Cornell University)

It is unclear whether, how and where large pre-trained language models capture subtle linguistic traits like ambiguity, grammaticality and sentence complexity. We present results of automatic classification of these traits and compare their viability and …

Simultaneous Translation for Unsegmented Input: A Sliding Window Approach

2022 · arXiv (Cornell University)

In the cascaded approach to spoken language translation (SLT), the ASR output is typically punctuated and segmented into sentences before being passed to MT, since the latter is typically trained on written text. However, erroneous …

Quality and Quantity of Machine Translation References for Automatic Metrics

2024 · arXiv (Cornell University)

Automatic machine translation metrics typically rely on human translations to determine the quality of system translations. Common wisdom in the field dictates that the human references should be of very high quality. However, there are …

Findings of the 2015 Workshop on Statistical Machine Translation

2015

Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Barry Haddow, Matthias Huck, Chris Hokamp, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Carolina Scarton, Lucia Specia, Marco Turchi. Proceedings of the Tenth Workshop on Statistical …

Results of the WMT16 Metrics Shared Task

2016

This paper presents the results of the WMT16 Metrics Shared Task. We asked participants of this task to score the outputs of the MT systems involved in the WMT16 Shared Translation Task. We collected scores …

Findings of the 2016 Conference on Machine Translation

2016

Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, …

Curriculum Learning and Minibatch Bucketing in Neural Machine Translation

2017

We examine the effects of particular orderings of sentence pairs on the on-line training of neural machine translation (NMT). We focus on two types of such orderings: (1) ensuring that each minibatch contains sentences similar …

Overview of the 8th Workshop on Asian Translation

2021

Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Shohei Higashiyama, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondřej Bojar, Chenhui Chu, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Sadao Kurohashi. Proceedings of …

Findings of the 2017 Conference on Machine Translation (WMT17)

2017

Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Shujian Huang, Matthias Huck, Philipp Koehn, Qun Liu, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Raphael Rubino, Lucia Specia, Marco Turchi. Proceedings of the …

Training Tips for the Transformer Model

2018 · ˜The œPrague Bulletin of Mathematical Linguistics

Abstract This article describes our experiments in neural machine translation using the recent Tensor2Tensor framework and the Transformer sequence-to-sequence model (Vaswani et al., 2017). We examine some of the critical parameters that affect the final …

Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance

2018

This paper presents the results of the WMT18 Metrics Shared Task. We asked participants of this task to score the outputs of the MT systems involved in the WMT18 News Translation Task with automatic metrics. …

Findings of the 2019 Conference on Machine Translation (WMT19)

2019

Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Shervin Malmasi, Christof Monz, Mathias Müller, Santanu Pal, Matt Post, Marcos Zampieri. Proceedings of the Fourth …

Overview of the 7th Workshop on Asian Translation

2020

Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Shohei Higashiyama, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondřej Bojar, Sadao Kurohashi. Proceedings of the 7th Workshop on Asian Translation. 2020.

Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals

2020 · Nature Communications

The quality of human translation was long thought to be unattainable for computer translation systems. In this study, we present a deep-learning system, CUBBITT, which challenges this view. In a context-aware blind evaluation by human …