Findings of the 2017 conference on machine translation (wmt17)
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 …
translation (MT) tasks (news, biomedical, and multimodal), two evaluation tasks (metrics and …
[HTML][HTML] Adopting machine translation in the healthcare sector: A methodological multi-criteria review
M Zappatore, G Ruggieri - Computer Speech & Language, 2024 - Elsevier
Background: The recent advances in machine translation (MT) offer an appealing and low-
cost solution to overcome language barriers in multiple contexts (eg, travelling, cultural …
cost solution to overcome language barriers in multiple contexts (eg, travelling, cultural …
Findings of the WMT 2022 biomedical translation shared task: Monolingual clinical case reports
In the seventh edition of the WMT Biomedical Task, we addressed a total of seven language
pairs, namely English/German, English/French, English/Spanish, English/Portuguese …
pairs, namely English/German, English/French, English/Spanish, English/Portuguese …
Machine translation in healthcare
Machine translation has enormous potential to improve communication across language
barriers in the healthcare setting. We first explain what machine translation (MT) is, and why …
barriers in the healthcare setting. We first explain what machine translation (MT) is, and why …
Beyond noise: Mitigating the impact of fine-grained semantic divergences on neural machine translation
While it has been shown that Neural Machine Translation (NMT) is highly sensitive to noisy
parallel training samples, prior work treats all types of mismatches between source and …
parallel training samples, prior work treats all types of mismatches between source and …
Huawei's NMT systems for the WMT 2019 biomedical translation task
This paper describes Huawei's neural machine translation systems for the WMT 2019
biomedical translation shared task. We trained and fine-tuned our systems on a combination …
biomedical translation shared task. We trained and fine-tuned our systems on a combination …
Translating scientific abstracts in the bio-medical domain with structure-aware models
Abstract Machine Translation (MT) technologies have improved in many ways and generate
usable outputs for a growing number of domains and language pairs. Yet, most sentence …
usable outputs for a growing number of domains and language pairs. Yet, most sentence …
BSC participation in the WMT translation of biomedical abstracts
This paper describes the machine translation systems developed by the Barcelona
Supercomputing (BSC) team for the biomedical translation shared task of WMT19. Our …
Supercomputing (BSC) team for the biomedical translation shared task of WMT19. Our …
Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies
Morphologically rich languages pose difficulties to machine translation. Machine translation
engines that rely on statistical learning from parallel training data, such as state-of-the-art …
engines that rely on statistical learning from parallel training data, such as state-of-the-art …
Comparison of Machine Translation Services in the Biomedical Context
Patients and healthcare providers often face communication barriers due to different
languages, which can impede healthcare quality. Moreover, with digital medicine and health …
languages, which can impede healthcare quality. Moreover, with digital medicine and health …