ACL RD-TEC 1.0 Summarization of P98-1080
Paper Title:
TAGGING INLECTIVE LANGUAGES: PREDICTION OF MORPHOLOGICAL CATEGORIES FOR A RICH STRUCTURED TAGSET
TAGGING INLECTIVE LANGUAGES: PREDICTION OF MORPHOLOGICAL CATEGORIES FOR A RICH STRUCTURED TAGSET
Authors: Jan Hajic and Barbora Hladka
Primarily assigned technology terms:
- algorithm
- analyzer
- computing
- disambiguation
- disambiguation procedure
- error analysis
- feature adding
- feature selection
- feature selection algorithm
- illustration
- learning
- maximum entropy
- maximum likelihood
- modeling
- morpho-syntactic tagging
- morphological analysis
- morphological analyzer
- morphological tagging
- morphology
- parsers
- re-estimation
- search
- selection algorithm
- selection process
- smoothing
- splitting
- statistical modeling
- tagger
- taggers
- tagging
- training method
- viterbi
- viterbi algorithm
- viterbi search
- weight estimation
Other assigned terms:
- adjective
- ambiguity
- ambiguous words
- approach
- attribute-value pairs
- case
- conditional probability
- derivations
- dictionary
- dictionary entry
- distribution
- entropy
- error rate
- estimation
- evaluation metrics
- fact
- feature
- feature set
- feature value
- feature weights
- implementation
- input word form
- language model
- lemma
- lexicon
- likelihood
- lookahead
- mapping
- meaning
- method
- morpheme
- morphemes
- morphological category
- negation
- noun phrase
- nouns
- opinion
- part of speech
- particle
- phrase
- polarity
- preposition
- probabilistic model
- probabilities
- probability
- probability distributions
- procedure
- process
- pronouns
- russian
- stress
- style
- suffix
- syntactic categories
- tag set
- tagging accuracy
- tags
- tagset
- term
- termination condition
- test data
- test set
- text
- tokens
- training
- training data
- training set
- uniform distribution
- unigram
- word
- word form
- word senses
- words
