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BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training.

, , , , , and . ACL (1), page 5428-5443. Association for Computational Linguistics, (2023)

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Toward Making the Most of Context in Neural Machine Translation., , , , and . CoRR, (2020)Unsupervised Bilingual Lexicon Induction via Latent Variable Models., , and . EMNLP, page 621-626. Association for Computational Linguistics, (2018)Extroversion or Introversion? Controlling The Personality of Your Large Language Models., , , , and . CoRR, (2024)RGraph: Generating Reference Graphs for Better Machine Translation Evaluation., , , , and . CWMT, volume 787 of Communications in Computer and Information Science, page 55-67. Springer, (2017)NJUNLP's Submission for CCMT20 Quality Estimation Task., , , and . CCMT, volume 1328 of Communications in Computer and Information Science, page 114-122. Springer, (2020)Learning word embeddings from dependency relations., , , , and . IALP, page 123-127. IEEE, (2014)Improving Aspect Identification with Reviews Segmentation., , , , , and . NLPCC (1), volume 11108 of Lecture Notes in Computer Science, page 416-428. Springer, (2018)Only 5% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation., , , , and . IJCNLP (1), page 733-743. Association for Computational Linguistics, (2023)Addressing Linguistic Bias through a Contrastive Analysis of Academic Writing in the NLP Domain., , , , and . EMNLP, page 16765-16779. Association for Computational Linguistics, (2023)Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models., , , and . ACL (1), page 11295-11308. Association for Computational Linguistics, (2024)