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Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Data Augmentation
On the Test A and Test B of the evaluation, the F1 scores of our system achieve 94. 73% and 90. 93% for the word segmentation, 89. 19% and 83. 48% for the POS tagging.
BIT-Xiaomi’s System for AutoSimTrans 2022
This system paper describes the BIT-Xiaomi simultaneous translation system for Autosimtrans 2022 simultaneous translation challenge.
CBSiMT: Mitigating Hallucination in Simultaneous Machine Translation with Weighted Prefix-to-Prefix Training
Simultaneous machine translation (SiMT) is a challenging task that requires starting translation before the full source sentence is available.
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