That'll Do Fine!: A Coarse Lexical Resource for English-Hindi MT, Using Polylingual Topic Models.
Diptesh KanojiaAditya JoshiPushpak BhattacharyyaMark James CarmanPublished in: LREC (2016)
Keyphrases
- topic models
- machine translation
- natural language processing
- word sense disambiguation
- coarse to fine
- topic modeling
- latent dirichlet allocation
- text mining
- bilingual dictionaries
- statistical machine translation
- cross lingual
- target language
- information extraction
- text documents
- cross language information retrieval
- latent topics
- wordnet
- language independent
- language identification
- latent variables
- natural language
- word pairs
- probabilistic model
- parallel corpora
- latent topic models
- machine translation system
- generative model
- co occurrence
- named entity recognition
- query translation
- word sense
- keywords
- text corpora
- gibbs sampling
- data mining
- word alignment
- cross language
- semantic relations
- named entities
- data analysis
- artificial intelligence
- indian languages
- probabilistic topic models
- machine learning