Prompting open-source and commercial language models for grammatical error correction of English learner text.
Christopher DavisAndrew CainesØistein E. AndersenShiva TaslimipoorHelen YannakoudakisZheng YuanChristopher BryantMarek ReiPaula ButteryPublished in: ACL (Findings) (2024)
Keyphrases
- error correction
- language model
- open source
- information retrieval
- language modeling
- controlled natural language
- multiword
- cross language retrieval
- n gram
- document level
- document retrieval
- cross lingual
- natural language
- language modelling
- speech recognition
- error correcting
- retrieval model
- probabilistic model
- error detection
- query expansion
- text retrieval
- vector space model
- test collection
- language models for information retrieval
- smoothing methods
- word level
- statistical language models
- keywords
- machine translation system
- text mining
- improve retrieval effectiveness
- watermarking scheme
- cross language
- query terms
- text documents
- web documents
- parse tree
- translation model
- pseudo relevance feedback
- document ranking
- context sensitive