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We participate in the WMT 2020 shared news translation task on Chinese to English. Our system is based on the Transformer (Vaswani et al., 2017a) with effective variants and the DTMT (Meng and Zhang, 2019) architecture. In our experiments,…

计算与语言 · 计算机科学 2020-11-22 Fandong Meng , Jianhao Yan , Yijin Liu , Yuan Gao , Xianfeng Zeng , Qinsong Zeng , Peng Li , Ming Chen , Jie Zhou , Sifan Liu , Hao Zhou

This paper introduces WeChat AI's participation in WMT 2021 shared news translation task on English->Chinese, English->Japanese, Japanese->English and English->German. Our systems are based on the Transformer (Vaswani et al., 2017) with…

计算与语言 · 计算机科学 2021-09-14 Xianfeng Zeng , Yijin Liu , Ernan Li , Qiu Ran , Fandong Meng , Peng Li , Jinan Xu , Jie Zhou

This paper introduces the joint submission of the Beijing Jiaotong University and WeChat AI to the WMT'22 chat translation task for English-German. Based on the Transformer, we apply several effective variants. In our experiments, we…

计算与语言 · 计算机科学 2022-11-29 Yunlong Liang , Fandong Meng , Jinan Xu , Yufeng Chen , Jie Zhou

This paper describes DiDi AI Labs' submission to the WMT2020 news translation shared task. We participate in the translation direction of Chinese->English. In this direction, we use the Transformer as our baseline model, and integrate…

计算与语言 · 计算机科学 2020-10-19 Tanfang Chen , Weiwei Wang , Wenyang Wei , Xing Shi , Xiangang Li , Jieping Ye , Kevin Knight

We present our systems participated in the VLSP 2022 machine translation shared task. In the shared task this year, we participated in both translation tasks, i.e., Chinese-Vietnamese and Vietnamese-Chinese translations. We build our…

计算与语言 · 计算机科学 2023-08-16 Hai Long Trieu , Song Kiet Bui , Tan Minh Tran , Van Khanh Tran , Hai An Nguyen

The University of Cambridge submission to the WMT18 news translation task focuses on the combination of diverse models of translation. We compare recurrent, convolutional, and self-attention-based neural models on German-English,…

计算与语言 · 计算机科学 2018-08-30 Felix Stahlberg , Adria de Gispert , Bill Byrne

Following last year, we have continued to host the WMT translation shared task this year, the second edition of the Discourse-Level Literary Translation. We focus on three language directions: Chinese-English, Chinese-German, and…

This paper describes the Stevens Institute of Technology's submission for the WMT 2022 Shared Task: Code-mixed Machine Translation (MixMT). The task consisted of two subtasks, subtask $1$ Hindi/English to Hinglish and subtask $2$ Hinglish…

计算与语言 · 计算机科学 2022-11-18 Abdul Rafae Khan , Hrishikesh Kanade , Girish Amar Budhrani , Preet Jhanglani , Jia Xu

This paper presents the findings from the third edition of the Chat Translation Shared Task. As with previous editions, the task involved translating bilingual customer support conversations, specifically focusing on the impact of…

In this report, we present our submission to the WMT 2022 Metrics Shared Task. We build our system based on the core idea of UNITE (Unified Translation Evaluation), which unifies source-only, reference-only, and source-reference-combined…

计算与语言 · 计算机科学 2023-02-20 Yu Wan , Keqin Bao , Dayiheng Liu , Baosong Yang , Derek F. Wong , Lidia S. Chao , Wenqiang Lei , Jun Xie

This paper describes the joint submission of Alibaba and Soochow University, TSMind, to the WMT 2022 Shared Task on Translation Suggestion (TS). We participate in the English-German and English-Chinese tasks. Basically, we utilize the model…

计算与语言 · 计算机科学 2022-11-17 Xin Ge , Ke Wang , Jiayi Wang , Nini Xiao , Xiangyu Duan , Yu Zhao , Yuqi Zhang

This paper describes NiuTrans neural machine translation systems of the WMT 2021 news translation tasks. We made submissions to 9 language directions, including English$\leftrightarrow$$\{$Chinese, Japanese, Russian, Icelandic$\}$ and…

This paper describes the submissions of Huawei Translation Services Center(HW-TSC) to WMT24 chat translation shared task on English$\leftrightarrow$Germany (en-de) bidirection. The experiments involved fine-tuning models using chat data and…

There are many machine translation (MT) papers that propose novel approaches and show improvements over their self-defined baselines. The experimental setting in each paper often differs from one another. As such, it is hard to determine if…

计算与语言 · 计算机科学 2018-05-07 Christian Hadiwinoto , Hwee Tou Ng

In this paper, we present our submission to the sentence-level MQM benchmark at Quality Estimation Shared Task, named UniTE (Unified Translation Evaluation). Specifically, our systems employ the framework of UniTE, which combined three…

计算与语言 · 计算机科学 2023-02-20 Keqin Bao , Yu Wan , Dayiheng Liu , Baosong Yang , Wenqiang Lei , Xiangnan He , Derek F. Wong , Jun Xie

This paper describes Microsoft's submission to the first shared task on sign language translation at WMT 2022, a public competition tackling sign language to spoken language translation for Swiss German sign language. The task is very…

计算与语言 · 计算机科学 2022-10-25 Subhadeep Dey , Abhilash Pal , Cyrine Chaabani , Oscar Koller

This research presents a fine-grained human evaluation to compare the Transformer and recurrent approaches to neural machine translation (MT), on the translation direction English-to-Chinese. To this end, we develop an error taxonomy…

计算与语言 · 计算机科学 2020-06-16 Yuying Ye , Antonio Toral

In the current work, we present a description of the system submitted to WMT 2018 News Translation Shared task. The system was created to translate news text from Finnish to English. The system used a Character Based Neural Machine…

计算与语言 · 计算机科学 2019-08-02 Sainik Kumar Mahata , Dipankar Das , Sivaji Bandyopadhyay

This paper describes Tencent's multilingual machine translation systems for the WMT22 shared task on Large-Scale Machine Translation Evaluation for African Languages. We participated in the $\mathbf{constrained}$ translation track in which…

计算与语言 · 计算机科学 2022-10-19 Wenxiang Jiao , Zhaopeng Tu , Jiarui Li , Wenxuan Wang , Jen-tse Huang , Shuming Shi

The 2019 WMT Biomedical translation task involved translating Medline abstracts. We approached this using transfer learning to obtain a series of strong neural models on distinct domains, and combining them into multi-domain ensembles. We…

计算与语言 · 计算机科学 2019-06-14 Danielle Saunders , Felix Stahlberg , Bill Byrne
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