2026-03-08T05:26:33Z https://ipsj.ixsq.nii.ac.jp/oai

oai:ipsj.ixsq.nii.ac.jp:00230196 2025-01-19T11:15:02Z 6504:11436:11440

Corpus Augmentation Based on Pseudo-Chinese Generation for Chinese-Japanese Neural Machine Translation 魏, 徴 関, 洋平 人工知能と認知科学 The performance of neural machine translation model depends on the size of training datasets. This paper presents a novel corpus augmentation for Chinese-Japanese neural machine translation. Unlike conventional corpus augmentation methods, we perform corpus augmentation by generating pseudo-Chinese sentences directly from Japanese monolingual corpus. Rules are set up to replace particles and auxiliaries written in kana characters with Chinese kanji words that have the same meanings. In addition, using word embedding, nouns, verbs, adjectives written in kana characters are converted into words written in kanji characters with the similar meaning. We evaluate the proposed method using BLEU evaluation metric and compare it with back-translation method. 情報処理学会 2023-02-16 eng conference paper https://ipsj.ixsq.nii.ac.jp/records/230196 AN00349328 第85回全国大会講演論文集 2023 1 821 822 https://ipsj.ixsq.nii.ac.jp/record/230196/files/IPSJ-Z85-4W-05.pdf application/pdf 490.8 kB 2023-11-17