The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation.
Patrick FernandesDaniel DeutschMara FinkelsteinParker RileyAndré F. T. MartinsGraham NeubigAnkush GargJonathan H. ClarkMarkus FreitagOrhan FiratPublished in: CoRR (2023)
Keyphrases
- fine grained
- language model
- machine translation
- language modeling
- statistical machine translation
- cross lingual
- n gram
- probabilistic model
- document retrieval
- cross language information retrieval
- translation model
- language independent
- information retrieval
- speech recognition
- chinese english
- target language
- natural language processing
- access control
- retrieval model
- information extraction
- query expansion
- word sense disambiguation
- out of vocabulary
- query terms
- machine translation system
- ad hoc information retrieval
- test collection
- relevance model
- query translation
- vector space model
- parallel corpora
- xml retrieval
- graphical models
- natural language