ACL RD-TEC 1.0 Summarization of A97-1017
Paper Title:
PROBABILISTIC AND RULE-BASED TAGGER OF AN INFLECTIVE LANGUAGE- A COMPARISON
PROBABILISTIC AND RULE-BASED TAGGER OF AN INFLECTIVE LANGUAGE- A COMPARISON
Authors: Jan Hajic and Barbora Hladka
Primarily assigned technology terms:
- algorithm
- disambiguation
- english pos tagger
- finitestate
- learning
- lemmatization
- likelihood training
- likelihood training method
- maximum likelihood
- maximum likelihood training
- part-of-speech disambiguation
- pos tagger
- pos tagging
- rule-based tagger
- smoothing
- speech tagger
- tag assignment
- tagger
- tagging
- tagging procedure
- text tagging
- training method
Other assigned terms:
- adjective
- ambiguity
- approach
- bigram
- case
- english text
- error rate
- fact
- hand-tagged corpus
- implementation
- inflection
- likelihood
- mark-up
- meaning
- method
- morphological information
- names
- noun phrase
- nouns
- part of speech
- part-of-speech
- particle
- penn treebank
- penn treebank tagset
- phrase
- pos class
- pos tag
- prediction model
- probabilistic model
- probability
- probability distributions
- procedure
- process
- pronouns
- punctuation
- sentence
- sentence boundaries
- sentence boundary
- source channel model
- statistics
- symbol
- syntactic tag
- tagged corpus
- tagged text
- tagging accuracy
- tags
- tagset
- terms
- test data
- text
- token frequency
- tokens
- training
- training and test data
- training corpus
- training data
- treebank
- trigram
- unigram
- unigram probability
- word
- word order
- word types
- words
