Multilingual corpus construction and domain adaptation for low-resource machine translation

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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.