Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models.
Takashi WadaTomoharu IwataYuji MatsumotoPublished in: ACL (1) (2019)
Keyphrases
- limited resources
- language model
- n gram
- translation model
- language independent
- language modeling
- cross lingual
- statistical language modeling
- word clouds
- out of vocabulary
- parallel corpus
- processing power
- statistical machine translation
- chinese english
- document retrieval
- language modelling
- retrieval model
- cross language information retrieval
- speech recognition
- information retrieval
- machine translation system
- word error rate
- probabilistic model
- word segmentation
- query expansion
- multiword
- context sensitive
- digital libraries
- spoken term detection
- semi supervised
- test collection
- bilingual dictionaries
- cross language
- co occurrence
- word recognition
- term dependencies
- pseudo relevance feedback
- word level
- term weighting
- word sense disambiguation
- language models for information retrieval
- vector space model
- vector space
- improve retrieval effectiveness
- document ranking
- relevance model