A universal multilingual weightless neural network tagger via quantitative linguistics.
Hugo C. C. CarneiroCarlos Eduardo PedreiraFelipe M. G. FrançaPriscila M. V. LimaPublished in: Neural Networks (2017)
Keyphrases
- neural network
- back propagation
- named entities
- artificial neural networks
- qualitative and quantitative
- pattern recognition
- feed forward neural networks
- neural network is trained
- language learning
- neural network model
- cross lingual
- digital libraries
- computer science
- fuzzy logic
- cross language information retrieval
- network model
- language resources
- feedforward neural networks
- language independent
- image reconstruction from projections
- neural nets
- recurrent neural networks
- cognitive science
- feed forward
- test set
- artificial intelligence
- quantitative and qualitative
- named entity recognition
- self organizing maps
- fault diagnosis
- learning vector quantization
- quantitative measures
- fuzzy artmap
- natural language processing
- data sets