FDMT: A Benchmark Dataset for Fine-grained Domain Adaptation in Machine Translation.
Wenhao ZhuShujian HuangTong PuXu ZhangJian YuWei ChenYanfeng WangJiajun ChenPublished in: CoRR (2020)
Keyphrases
- fine grained
- machine translation
- benchmark datasets
- domain adaptation
- multiple sources
- cross lingual
- semi supervised
- cross domain
- sentiment classification
- information extraction
- natural language processing
- access control
- semi supervised learning
- labeled data
- transfer learning
- word sense disambiguation
- target language
- pos tagging
- natural language
- target domain
- document classification
- machine learning
- unlabeled data
- test data
- source language