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 …

We present a survey covering the state of the art in low-resource machine translation (MT)
research. There are currently around 7,000 languages spoken in the world and almost all …

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 …

Large language models have shown surprising performances in understanding instructions
and performing natural language tasks. In this paper, we propose iterative translation …

Natural language processing researchers have identified limitations of evaluation
methodology for generation tasks, with new questions raised about the validity of automatic …

This paper presents the submissions of Huawei Translate Services Center (HW-TSC) to the
WMT 2022 General Machine Translation Shared Task. We participate in 6 language pairs …

This paper presents HW-TSC's submissions to the IWSLT 2023 Offline Speech Translation
task, including speech translation of talks from English to German, Chinese, and Japanese …

This paper presents the submission of Huawei Translate Services Center (HW-TSC) to the
WMT23 general machine translation (MT) shared task, in which we participate in Chinese↔ …

This paper describes the translation systems trained by Huawei translation services center
(HW-TSC) for the WMT22 biomedical translation task in five language pairs: English↔ …

Subword-level models have been the dominant paradigm in NLP. However, character-level
models have the benefit of seeing each character individually, providing the model with …