A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models.
Chenyang LyuZefeng DuJitao XuYitao DuanMinghao WuTeresa LynnAlham Fikri AjiDerek F. WongLongyue WangPublished in: LREC/COLING (2024)
Keyphrases
- paradigm shift
- language model
- machine translation
- statistical machine translation
- language modeling
- cross lingual
- n gram
- language independent
- probabilistic model
- document retrieval
- natural language processing
- language processing
- speech recognition
- retrieval model
- cross language information retrieval
- information retrieval
- query expansion
- test collection
- information extraction
- target language
- natural language
- future development
- vector space model
- query terms
- pseudo relevance feedback
- machine translation system
- chinese english
- ad hoc information retrieval
- context sensitive
- text retrieval
- translation model
- retrieval effectiveness
- relevance model
- multiword
- document level
- parallel corpus