ACL RD-TEC 1.0 Summarization of W04-0109
Paper Title:
MULTILINGUAL NOISE-ROBUST SUPERVISED MORPHOLOGICAL ANALYSIS USING THE WORDFRAME MODEL
MULTILINGUAL NOISE-ROBUST SUPERVISED MORPHOLOGICAL ANALYSIS USING THE WORDFRAME MODEL
Primarily assigned technology terms:
- algorithm
- analyzer
- bootstrapping
- classifier
- classifiers
- co-training
- cross-validation
- data compression
- finite state
- finite state machine
- latent semantic analysis
- learner
- learning
- learning algorithms
- lemmatization
- longest matching
- matching
- modeling
- morphological analysis
- morphological analyzer
- morphology
- prefix trie
- semantic analysis
- suffix trie
- supervised learner
- transduction
- unsupervised learning
- venir
- weighting
Other assigned terms:
- 10-fold cross-validation
- affix
- affixation
- affixes
- alphabet
- approach
- bias
- cluster
- clusters
- conditional probability
- derivational morphology
- dictionary
- dutch
- empty string
- estimation
- evaluations
- experimental results
- fact
- french
- generative models
- grammars
- implementation
- infixation
- inflection
- inflectional morphology
- large corpus
- latent semantic
- linear combination
- local context
- method
- minimum description length
- noise
- precision
- prefixes and suffixes
- probabilities
- probability
- russian
- semantic
- stem
- substring
- suffix
- suffixes
- tagalog
- test set
- training
- training data
- training samples
- transformation
- transformation rules
- turkish morphology
- verb
- verb forms
- vowel
- weighting scheme
- words
