ACL RD-TEC 1.0 Summarization of C94-1032

Paper Title:
A STOCHASTIC JAPANESE MORPHOLOGICAL ANALYZER USING A FORWARD-DP BACKWARD-A* N-BEST SEARCH ALGORITHM

Other assigned terms:

  • ambiguity
  • approach
  • bigram
  • bigram model
  • boundary marker
  • bunsetsu
  • character sequence
  • character type
  • characters
  • community
  • computational model
  • conjugation form
  • data structures
  • dialogues
  • dictionaries
  • dictionary
  • estimation
  • evaluation measures
  • events
  • experimental results
  • fact
  • grammar
  • heuristic
  • heuristics
  • hypotheses
  • hypothesis
  • input string
  • joint probability
  • language model
  • lattice
  • linear time
  • machine readable dictionaries
  • markov models
  • measures
  • method
  • n-best search strategy
  • nlp community
  • open test
  • parse
  • parse structure
  • part of speech
  • part of speech tags
  • partial parse
  • partial parses
  • parts of speech
  • precision
  • probabilities
  • probability
  • probability estimates
  • proper noun
  • relative frequency
  • search strategy
  • segmentation accuracy
  • sentence
  • sentence boundaries
  • sentence boundary
  • sentences
  • slot
  • speech tag
  • statistical approach
  • statistical language model
  • symbol
  • symbols
  • tag sequence
  • tag set
  • tagged text
  • tagging model
  • tags
  • technique
  • test set
  • text
  • text revision support
  • tile corpus
  • tile system
  • tile word
  • tim sentence
  • tokens
  • training
  • training corpus
  • training data
  • tree
  • trigram
  • trigram model
  • two-pass n-best search strategy
  • uniform probability
  • unigram
  • verb
  • word
  • word boundaries
  • word boundary
  • word formation
  • word information
  • word model
  • word sequence
  • word types
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

*** ***