LKMT: Linguistics Knowledge-Driven Multi-Task Neural Machine Translation for Urdu and English

Muhammad Naeem Ul Hassan, Zhengtao Yu, Jian Wang, Ying Li, Shengxiang Gao, Shuwan Yang, Cunli Mao · Computers, materials & continua/Computers, materials & continua (Print) · 2024

Thanks to the strong representation capability of pre-trained language models, supervised machine translation models have achieved outstanding performance. However, the performances of these models drop sharply when the scale... | Find, read and cite all the research you need on Tech Science Press

Read the paper · More papers on PaperTik