ACL RD-TEC 1.0 Summarization of W00-0508

Paper Title:
STOCHASTIC FINITE-STATE MODELS FOR SPOKEN LANGUAGE MACHINE TRANSLATION

Authors: Srinivas Bangalore and Giuseppe Riccardi

Other assigned terms:

  • alignment procedure
  • approach
  • automata
  • bigram
  • bilingual corpus
  • bilingual phrase
  • case
  • classification task
  • composition
  • dialog
  • distribution
  • duration
  • empty string
  • english text
  • english translation
  • english translations
  • entropy
  • events
  • f-measure
  • formalism
  • implementation
  • input string
  • japanese text
  • key words
  • language model
  • lattice
  • lexical choice
  • linear order
  • mapping
  • maps
  • meaning
  • measure
  • measures
  • method
  • monolingual corpus
  • n-gram
  • n-gram model
  • natural language
  • ngram
  • noisy channel
  • phrase
  • precision
  • probabilities
  • probability
  • probability distribution
  • procedure
  • process
  • proposition
  • reordering
  • segmented corpus
  • semantic
  • sentence
  • sentence pair
  • sentences
  • source language
  • source language word
  • source sentence
  • spoken language
  • symbol
  • system performance
  • target language
  • target language model
  • target sentence
  • target string
  • target word
  • task performance
  • terms
  • test phase
  • text
  • tokens
  • training
  • training set
  • transcriptions
  • transition probabilities
  • transition probability
  • translation model
  • translation models
  • translation output
  • translation problem
  • translations
  • trigram
  • unconstrained speech
  • understanding
  • unigram
  • usability
  • user
  • user utterance
  • utterance
  • vocabulary
  • word
  • word classes
  • word lattice
  • word order
  • word sequence
  • word sequences
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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