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Autor:
Shenrong Lv, Bo Yang, Ruiyang Wang, Siyu Lu, Jiawei Tian, Wenfeng Zheng, Xiaobing Chen, Lirong Yin
Publikováno v:
Systems, Vol 12, Iss 10, p 420 (2024)
In neural machine translation (NMT), the sophistication of word embeddings plays a pivotal role in the model’s ability to render accurate and contextually relevant translations. However, conventional models with single granularity of word segmentat
Externí odkaz:
https://doaj.org/article/8bcb5baf350d4f90936f982c056af6a7
