Multilingual corpus construction and domain adaptation for low-resource machine translation
Multilingual corpus construction and domain adaptation for low-resource machine translation
批准号:
22KJ1724
负责人:
宋 海越
金额:
$1.41万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for JSPS Fellows
财政年份:
2023
资助国家:
日本
项目状态:
已结题
起止时间:
2023-03-08 至 2024-03-31
中文摘要
在这一年里,我已经发表了5篇论文,一篇期刊论文正在审查中。作为第一作者的3篇论文:1)发表在AACL-IJCNLP2022国际会议上的第一篇作品利用基于BERT的无监督子词切分进行神经机器翻译,这在低资源到高资源场景下是有效的;2)发表在国内会议NLP2023上的第二篇作品使用了将GPT-3调整到日语任务的提示的机器翻译;3)提交给NLP期刊的第三篇作品在提出的子词关系感知注意机制和对齐损失目标中利用了来自多个子词分词的信息。其他工作包括发表在JIP期刊上的多模式自然机器翻译的视频信息,发表在顶级国际会议NAACL2022上的探索多语言自然机器翻译的对比词对齐,以及发表在顶级国际会议EMNLP2022上的关系提取的对比预培训。两篇合著论文正在为国际会议ACL2023和一篇为EAMT2023进行审查。我还在日本参加了校园研讨会和研讨会,与那里的许多研究人员进行了交流。此外,我还在NICT的一个专注于机器翻译的国家实验室实习,我们申请了一项基于BERT的无监督子词切分的专利。
英文摘要
During this year, I have published 5 papers and one journal paper is under review. For the 3 papers as the first author: 1) the first work published in an international conference AACL-IJCNLP2022 exploits BERT-based unsupervised subword segmentation for neural machine translation which is effective on low-resource to high-resource scenarios; 2) the second work published in a domestic conference NLP2023 utilizes machine translation of prompts for adjusting GPT-3 to Japanese tasks; 3) the third work submitting to the NLP journal leverages information from multiple subword segmenters in a proposed subword-relation-aware attention-mechanism and aligning loss objective. Other works include video-information for multimodal NMT which is published in the JIP journal, exploring contrastive word alignments for multilingual NMT which is published in a top international conference NAACL2022, and contrastive pre-training for relation extraction which is published in a top international conference EMNLP2022. Two co-authored papers are under review for international conference ACL2023 and one for EAMT2023. I have also participated in symposiums on campus and workshops in Japan, and communicate with many researchers there.Moreover, I took an internship at NICT in a national lab focusing on machine translation, and we have applied one patent for the BERT-based unsupervised subword segmentation.
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When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?
对比词对齐何时可以改善多对多神经机器翻译?
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Zhuoyuan Mao, Chenhui Chu, Raj Dabre, Haiyue Song, Zhen Wan and Sadao Kurohashi]
通讯作者:
Zhen Wan and Sadao Kurohashi
BERTSeg: BERT Based Subword Segmentation
BERTeg:基于 BERT 的子词分割
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[]
通讯作者:
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Haiyue Song;Raj Dabre;Zhuoyuan Mao;Chenhui Chu;S. Kurohashi]
通讯作者:
Haiyue Song;Raj Dabre;Zhuoyuan Mao;Chenhui Chu;S. Kurohashi
Representative Data Selection for Sequence-to-Sequence Pre-training
序列到序列预训练的代表性数据选择
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Haiyue Song, Raj Dabre, Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi]
通讯作者:
Sadao Kurohashi
DOI:
10.18653/v1/2021.acl-srw.9
发表时间:
2021
期刊:
影响因子:
--
作者:
[Weiqi Gu;Haiyue Song;Chenhui Chu;S. Kurohashi]
通讯作者:
Weiqi Gu;Haiyue Song;Chenhui Chu;S. Kurohashi
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基于ChatGPT的AI特异性戒烟辅导结合时空支持的动态戒烟管理模式构建及实证研究
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批准号:
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项目类别:省市级项目
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资助金额:15.0万元
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批准年份:2024
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负责人:夏薇
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依托单位: