ACL RD-TEC 1.0 Summarization of N06-1042
Paper Title:
LEARNING MORPHOLOGICAL DISAMBIGUATION RULES FOR TURKISH
LEARNING MORPHOLOGICAL DISAMBIGUATION RULES FOR TURKISH
Authors: Deniz Yuret and Ferhan Ture
Primarily assigned technology terms:
- a constraint-based approach
- algorithm
- analyzer
- bootstrapping
- classi cation
- constraint-based approach
- decision list induction
- decision list learning
- disambiguation
- disambiguation problem
- expectation maximization
- expectation maximization algorithm
- gpa training
- heuristic search
- induction
- induction algorithm
- learner
- learning
- learning algorithm
- learning approach
- learning approaches
- list induction
- list induction algorithm
- list training
- machine learning
- machine learning approach
- machine learning approaches
- maximization algorithm
- maximum entropy
- modeling
- morphological analysis
- morphological analyzer
- morphological disambiguation
- naive bayes
- parsing
- part of speech tagging
- rule-based approach
- rule-based disambiguation
- search
- search algorithm
- sense disambiguation
- speech synthesis
- speech tagging
- spelling
- spelling correction
- statistical approaches
- supervised training
- syntactic parsing
- synthesis
- tagger
- tagging
- text to speech
- training algorithm
- unsupervised learning
- validation
- word sense disambiguation
Other assigned terms:
- adjective
- adverb
- agglutinative language
- ambiguity
- approach
- basque
- case
- character type
- characters
- chunks
- constituent order
- data set
- data sparseness
- data sparseness problem
- determiner
- dictionary
- disambiguation model
- entropy
- entropy models
- feature
- heuristic
- independence assumption
- interpretation
- lexical items
- maximum entropy models
- meaning
- meanings
- method
- morphological ambiguity
- morphological features
- morphological information
- morphological structure
- nouns
- ordered list
- parse
- part of speech
- parts of speech
- pos tag
- positive and negative examples
- probabilistic model
- probabilities
- probability
- procedure
- process
- punctuation
- sparseness problem
- statistical approach
- statistical models
- statistics
- symbol
- symbols
- syntactic relations
- tagged corpus
- tagging accuracy
- tags
- target word
- term
- test data
- test data set
- test set
- testing data
- text
- training
- training and testing data
- training corpus
- training data
- training examples
- training instance
- training set
- transformation
- word
- word data
- word sense
- word string
- word window
- words
