Adding code-switched, partially translated training sentences to a pretrained language model slightly improves domain-specific English-Chinese word translation over the CSCBLI baseline.
In Proceed- ings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages 1415 – 1425, Doha, Qatar
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models
Adding code-switched, partially translated training sentences to a pretrained language model slightly improves domain-specific English-Chinese word translation over the CSCBLI baseline.