ACL RD-TEC 1.0 Summarization of P03-1060

Paper Title:
A SYLLABLE BASED WORD RECOGNITION MODEL FOR KOREAN NOUN EXTRACTION

Authors: Do-Gil Lee and Hae-Chang Rim and Heui-Seok Lim

Other assigned terms:

  • 10-fold cross-validation
  • agglutinative language
  • alphabet
  • ambiguity
  • annotated corpus
  • approach
  • characters
  • chinese characters
  • corpora
  • cross-validation experiment
  • dictionaries
  • dictionary
  • document
  • evaluation measures
  • experimental results
  • f-measure
  • fact
  • fmeasure
  • grapheme
  • index
  • knowledge
  • lexical ambiguity
  • lexical level
  • likelihood
  • linguistic
  • linguistic knowledge
  • linguistics
  • measure
  • measures
  • method
  • morpheme
  • morpheme level
  • morphemes
  • morphological rules
  • named entity
  • nlp applications
  • nouns
  • partof-speech
  • phrase
  • pos tag
  • precision
  • probabilities
  • probability
  • process
  • recognition model
  • representation scheme
  • representations
  • sentence
  • sparse data
  • sparse data problem
  • statistical information
  • statistics
  • suffix
  • suffixes
  • surface level
  • syllables
  • symbols
  • syntactic context
  • tag set
  • tagged corpora
  • tagged corpus
  • tagging research
  • tags
  • tagset
  • term
  • terms
  • test data
  • text
  • theory
  • training
  • training corpus
  • training data
  • transition probabilities
  • vowel
  • word
  • word boundaries
  • word boundary
  • word recognition model
  • word tag
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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