ACL RD-TEC 1.0 Summarization of W00-1017

Paper Title:
WIT: A TOOLKIT FOR BUILDING ROBUST AND REAL-TIME SPOKEN DIALOGU SYSTEMS

Authors: Mikio Nakano and Noboru Miyazaki and Norihito Yasuda and Akira Sugiyama and Jun-ichi Hirasawa and Kohji Dohsaka and Kiyoaki Aikawa

Other assigned terms:

  • acoustic models
  • agglutinative language
  • attribute-value matrix
  • attribute-value pairs
  • bunsetsu
  • case
  • continuous speech
  • cyber space
  • dialogue history
  • dialogue initiative
  • dialogue participant
  • dialogue state
  • dialogue strategies
  • dialogue understanding research
  • dialogues
  • discourse
  • discourse information
  • discourse-related information
  • disjunction
  • disjunctive feature
  • domain-dependent knowledge
  • duration
  • feature
  • feature structure
  • feature structures
  • frame
  • frame representation
  • frame structure
  • function words
  • generation
  • grammar
  • grammatical category
  • grammatical features
  • grounding
  • hypotheses
  • implementation
  • intention
  • interpretation
  • knowledge
  • language model
  • language models
  • lexical item
  • lexicon
  • linguistic
  • linguistic phenomena
  • linguistics
  • lisp
  • method
  • n-best list
  • names
  • negation
  • parsing process
  • particle
  • pauses
  • phrase
  • phrase boundary
  • phrase category
  • phrase structure
  • phrase structure rules
  • process
  • pronunciation
  • recognition module
  • right-hand side
  • semantic
  • semantic feature
  • semantic frame
  • semantic representation
  • sentence
  • sentences
  • silence
  • speech data
  • speech database
  • speech recognition performance
  • speech repairs
  • symbols
  • system developer
  • technologies
  • terms
  • toolkit
  • understanding
  • unification grammar
  • unification-based lexicon
  • user
  • user utterance
  • user utterances
  • utterance
  • vocabulary
  • vocabulary size
  • word
  • word boundaries
  • word sequence
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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