ACL RD-TEC 1.0 Summarization of W06-0136

Paper Title:
N-GRAM BASED TWO-STEP ALGORITHM FOR WORD SEGMENTATION

Authors: Dong-Hee Lim and Kyu-Baek Hwang and Seung-Shik Kang

Other assigned terms:

  • ambiguous word
  • approach
  • association for computational linguistics
  • bigram
  • character sequence
  • characters
  • chinese language
  • chinese word
  • chinese words
  • corpora
  • data sparseness
  • data sparseness problem
  • dictionaries
  • dictionary
  • error rate
  • experimental results
  • f-measure
  • fact
  • feature
  • index
  • korean language
  • lexicon
  • linguistics
  • memory space
  • method
  • methodology
  • n-gram
  • n-grams
  • names
  • probability
  • proper name
  • proper names
  • query
  • segmentation bakeoff
  • sentence
  • small-sized training
  • small-sized training corpora
  • sparseness problem
  • statistics
  • tag information
  • tagging problem
  • tags
  • term
  • training
  • training corpora
  • training corpus
  • trigram
  • unigram
  • word
  • word boundaries
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

*** ***