@inproceedings{wang-etal-2023-evahan2023,
title = "{E}va{H}an2023: Overview of the First International {A}ncient {C}hinese Translation Bakeoff",
author = "Wang, Dongbo and
Lin, Litao and
Zhao, Zhixiao and
Ye, Wenhao and
Meng, Kai and
Sun, Wenlong and
Zhao, Lianzhen and
Zhao, Xue and
Shen, Si and
Zhang, Wei and
Li, Bin",
booktitle = "Proceedings of ALT2023: Ancient Language Translation Workshop",
month = sep,
year = "2023",
address = "Macau SAR, China",
publisher = "Asia-Pacific Association for Machine Translation",
url = "https://aclanthology.org/2023.alt-1.1",
pages = "1--14",
abstract = "This paper present the results of the First International Ancient Chinese Transalation Bakeoff (EvaHan), which is a shared task of the Ancient Language Translation Workshop (ALT2023) and a co-located event of the 19th Edition of the Machine Translation Summit 2023 (MTS 2023). We described the motivation for having an international shared contest, as well as the datasets and tracks. The contest consists of two modalities, closed and open. In the closed modality, the participants are only allowed to use the training data, the partic-ipating teams achieved the highest BLEU scores of 27.3315 and 1.1102 in the tasks of translating Ancient Chinese to Modern Chinese and translating Ancient Chinese to English, respectively. In the open mode, contestants can only use any available data and models. The participating teams achieved the highest BLEU scores of 29.6832 and 6.5493 in the ancient Chinese to modern and ancient Chinese to English tasks, respectively.",
}
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<abstract>This paper present the results of the First International Ancient Chinese Transalation Bakeoff (EvaHan), which is a shared task of the Ancient Language Translation Workshop (ALT2023) and a co-located event of the 19th Edition of the Machine Translation Summit 2023 (MTS 2023). We described the motivation for having an international shared contest, as well as the datasets and tracks. The contest consists of two modalities, closed and open. In the closed modality, the participants are only allowed to use the training data, the partic-ipating teams achieved the highest BLEU scores of 27.3315 and 1.1102 in the tasks of translating Ancient Chinese to Modern Chinese and translating Ancient Chinese to English, respectively. In the open mode, contestants can only use any available data and models. The participating teams achieved the highest BLEU scores of 29.6832 and 6.5493 in the ancient Chinese to modern and ancient Chinese to English tasks, respectively.</abstract>
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%0 Conference Proceedings
%T EvaHan2023: Overview of the First International Ancient Chinese Translation Bakeoff
%A Wang, Dongbo
%A Lin, Litao
%A Zhao, Zhixiao
%A Ye, Wenhao
%A Meng, Kai
%A Sun, Wenlong
%A Zhao, Lianzhen
%A Zhao, Xue
%A Shen, Si
%A Zhang, Wei
%A Li, Bin
%S Proceedings of ALT2023: Ancient Language Translation Workshop
%D 2023
%8 September
%I Asia-Pacific Association for Machine Translation
%C Macau SAR, China
%F wang-etal-2023-evahan2023
%X This paper present the results of the First International Ancient Chinese Transalation Bakeoff (EvaHan), which is a shared task of the Ancient Language Translation Workshop (ALT2023) and a co-located event of the 19th Edition of the Machine Translation Summit 2023 (MTS 2023). We described the motivation for having an international shared contest, as well as the datasets and tracks. The contest consists of two modalities, closed and open. In the closed modality, the participants are only allowed to use the training data, the partic-ipating teams achieved the highest BLEU scores of 27.3315 and 1.1102 in the tasks of translating Ancient Chinese to Modern Chinese and translating Ancient Chinese to English, respectively. In the open mode, contestants can only use any available data and models. The participating teams achieved the highest BLEU scores of 29.6832 and 6.5493 in the ancient Chinese to modern and ancient Chinese to English tasks, respectively.
%U https://aclanthology.org/2023.alt-1.1
%P 1-14
Markdown (Informal)
[EvaHan2023: Overview of the First International Ancient Chinese Translation Bakeoff](https://aclanthology.org/2023.alt-1.1) (Wang et al., alt 2023)
ACL
- Dongbo Wang, Litao Lin, Zhixiao Zhao, Wenhao Ye, Kai Meng, Wenlong Sun, Lianzhen Zhao, Xue Zhao, Si Shen, Wei Zhang, and Bin Li. 2023. EvaHan2023: Overview of the First International Ancient Chinese Translation Bakeoff. In Proceedings of ALT2023: Ancient Language Translation Workshop, pages 1–14, Macau SAR, China. Asia-Pacific Association for Machine Translation.