Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models.
Daniel TorregrosaNivranshu PasrichaMaraim MasoudBharathi Raja ChakravarthiJuan A. AlonsoNoe CasasMihael ArcanPublished in: MTSummit (2) (2019)
Keyphrases
- machine translation
- statistical translation models
- cross lingual
- natural language processing
- target language
- language processing
- expert systems
- finite state transducers
- language independent
- natural language generation
- cross language information retrieval
- word sense disambiguation
- chinese english
- information extraction
- natural language
- machine translation system
- statistical machine translation
- multilingual documents
- query translation
- statistical models
- knowledge base
- word level
- parallel corpora
- word alignment
- language resources
- tasks in natural language processing
- machine learning
- statistical model
- probabilistic model
- search engine