Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios.
Daniel TorregrosaNivranshu PasrichaMaraim MasoudBharathi Raja ChakravarthiJuan A. AlonsoNoe CasasMihael ArcanPublished in: CoRR (2020)
Keyphrases
- machine translation
- information extraction
- named entities
- natural language processing
- language independent
- named entity recognition
- finite state transducers
- knowledge base
- knowledge representation
- word sense disambiguation
- cross language information retrieval
- target language
- cross lingual
- statistical machine translation
- relation extraction
- machine translation system
- text mining
- expert systems
- word alignment
- natural language
- parallel corpora
- query translation
- probabilistic model
- question answering
- information retrieval
- bayesian networks
- conditional random fields
- co occurrence
- data mining