Flexible finite-state lexical selection for rule-based machine translation.
Francis M. TyersFelipe Sánchez-MartínezMikel L. ForcadaPublished in: EAMT (2012)
Keyphrases
- finite state
- machine translation
- finite state transducers
- natural language processing
- word sense disambiguation
- markov chain
- machine readable dictionaries
- language independent
- markov decision processes
- model checking
- information extraction
- optimal policy
- target language
- cross lingual
- bilingual dictionaries
- language processing
- machine translation system
- brazilian portuguese
- cross language information retrieval
- chinese english
- statistical machine translation
- natural language
- wordnet
- word alignment
- language resources
- expert systems
- source language
- word level
- english chinese
- parallel corpus
- co occurrence
- language modeling
- grammatical inference
- knowledge representation
- text summarization
- question answering
- target word
- reinforcement learning
- information retrieval
- machine learning