Findings of the 2019 conference on machine translation (WMT19)

L Barrault, O Bojar, MR Costa-Jussa, C Federmann… - 2019 - zora.uzh.ch
This paper presents the results of the premier shared task organized alongside the
Conference on Machine Translation (WMT) 2019. Participants were asked to build machine …

Results of the WMT21 metrics shared task: Evaluating metrics with expert-based human evaluations on TED and news domain

M Freitag, R Rei, N Mathur, C Lo… - Proceedings of the …, 2021 - aclanthology.org
This paper presents the results of the WMT21 Metrics Shared Task. Participants were asked
to score the outputs of the translation systems competing in the WMT21 News Translation …

Findings of the 2017 conference on machine translation (wmt17)

O Bojar, R Chatterjee, C Federmann, Y Graham… - 2017 - doras.dcu.ie
This paper presents the results of the WMT17 shared tasks, which included three machine
translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and …

Findings of the 2021 conference on machine translation (WMT21)

F Akhbardeh, A Arkhangorodsky, M Biesialska… - Proceedings of the sixth …, 2021 - cris.fbk.eu
This paper presents the results of the news translation task, the multilingual low-resource
translation for Indo-European languages, the triangular translation task, and the automatic …

Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT?

S Manakhimova, E Avramidis… - Proceedings of the …, 2023 - aclanthology.org
This paper offers a fine-grained analysis of the machine translation outputs in the context of
the Shared Task at the 8th Conference of Machine Translation (WMT23). Building on the …

Angler: Helping machine translation practitioners prioritize model improvements

S Robertson, ZJ Wang, D Moritz, MB Kery… - Proceedings of the 2023 …, 2023 - dl.acm.org
Machine learning (ML) models can fail in unexpected ways in the real world, but not all
model failures are equal. With finite time and resources, ML practitioners are forced to …

Linguistically motivated evaluation of machine translation metrics based on a challenge set

E Avramidis, V Macketanz - Proceedings of the Seventh …, 2022 - aclanthology.org
We employ a linguistically motivated challenge set in order to evaluate the state-of-the-art
machine translation metrics submitted to the Metrics Shared Task of the 7th Conference for …

Neurostructural decoding: Neural text generation with structural constraints

M Bastan, M Surdeanu… - Proceedings of the 61st …, 2023 - aclanthology.org
Text generation often involves producing coherent and grammatically correct texts that also
satisfy a given set of semantic constraints. While most approaches for conditional text …

Linguistic evaluation of German-English machine translation using a test suite

E Avramidis, V Macketanz, U Strohriegel… - arXiv preprint arXiv …, 2019 - arxiv.org
We present the results of the application of a grammatical test suite for German $\rightarrow
$ English MT on the systems submitted at WMT19, with a detailed analysis for 107 …

Fine-grained linguistic evaluation for state-of-the-art machine translation

E Avramidis, V Macketanz, U Strohriegel… - Proceedings of the …, 2020 - aclanthology.org
This paper describes a test suite submission providing detailed statistics of linguistic
performance for the state-of-the-art German-English systems of the Fifth Conference of …