Can Neural Machine Translation be Improved with User Feedback?
Julia KreutzerShahram KhadiviEvgeny MatusovStefan RiezlerPublished in: NAACL-HLT (3) (2018)
Keyphrases
- machine translation
- user feedback
- user interaction
- information extraction
- natural language processing
- cross lingual
- language independent
- relevance feedback
- target language
- word alignment
- language resources
- user profiles
- user preferences
- learning to rank
- statistical machine translation
- chinese english
- natural language
- relevant documents
- machine translation system
- brazilian portuguese
- amazon mechanical turk
- information retrieval
- word level
- recommender systems
- relevance judgments
- cross language information retrieval
- information retrieval systems
- knowledge base