Latest Development in the FoTran Project - Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components.
Raúl VázquezMichele BoggiaAlessandro RaganatoNiki A LoppiStig-Arne GrönroosJörg TiedemannPublished in: EAMT (2022)
Keyphrases
- language specific
- machine translation
- language independent
- cross lingual
- target language
- natural language
- language processing
- natural language processing
- word alignment
- n gram
- word sense disambiguation
- statistical machine translation
- information extraction
- machine translation system
- cross language information retrieval
- word level
- query translation
- text mining
- data mining
- software development
- cross language
- language modeling
- question answering