A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages.
Nikita MartynovMark BaushenkoAnastasia KozlovaKaterina KolomeytsevaAleksandr AbramovAlena FenogenovaPublished in: EACL (Findings) (2024)
Keyphrases
- spelling correction
- english text
- multiple domains
- discriminative training
- context sensitive
- cross domain
- word sense disambiguation
- language identification
- hidden markov models
- search queries
- maximum likelihood
- natural language generation
- generative model
- text to speech
- information retrieval
- posterior probability
- log linear models
- semantic relationships
- probabilistic interpretation
- natural language processing
- natural language
- scoring functions
- reinforcement learning
- artificial intelligence