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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 …
Conference on Machine Translation (WMT) 2019. Participants were asked to build machine …
Survey of low-resource machine translation
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 …
research. There are currently around 7,000 languages spoken in the world and almost all …
Findings of the 2021 conference on machine translation (WMT21)
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 …
translation for Indo-European languages, the triangular translation task, and the automatic …
Iterative translation refinement with large language models
We propose iteratively prompting a large language model to self-correct a translation, with
inspiration from their strong language understanding and translation capability as well as a …
inspiration from their strong language understanding and translation capability as well as a …
Bidimensional leaderboards: Generate and evaluate language hand in hand
Natural language processing researchers have identified limitations of evaluation
methodology for generation tasks, with new questions raised about the validity of automatic …
methodology for generation tasks, with new questions raised about the validity of automatic …
Hw-tsc's submissions to the wmt 2022 general machine translation shared task
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 …
WMT 2022 General Machine Translation Shared Task. We participate in 6 language pairs …
Treating general mt shared task as a multi-domain adaptation problem: Hw-tsc's submission to the wmt23 general mt shared task
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↔ …
WMT23 general machine translation (MT) shared task, in which we participate in Chinese↔ …
Hw-tsc at iwslt2023: Break the quality ceiling of offline track via pre-training and domain adaptation
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 …
task, including speech translation of talks from English to German, Chinese, and Japanese …
Hw-tsc systems for wmt22 very low resource supervised mt task
This paper describes the submissions of Huawei translation services center (HW-TSC) to the
WMT22 Very Low Resource Supervised MT task. We participate in all 6 supervised tracks …
WMT22 Very Low Resource Supervised MT task. We participate in all 6 supervised tracks …
Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task
This paper presents the submission of Huawei Translate Services Center (HW-TSC) to the
WMT24 general machine translation (MT) shared task, where we participate in the English to …
WMT24 general machine translation (MT) shared task, where we participate in the English to …