ACL RD-TEC 1.0 Summarization of C02-1136
Paper Title:
STOCHASTIC DEPENDENCY PARSING OF SPONTANEOUS JAPANESE SPOKEN LANGUAGE
STOCHASTIC DEPENDENCY PARSING OF SPONTANEOUS JAPANESE SPOKEN LANGUAGE
Authors: Shigeki Matsubara and Takahisa Murase and Nobuo Kawaguchi and Yasuyoshi Inagaki
Primarily assigned technology terms:
- continuous speech recognition
- data collection
- dependency analysis
- dependency parsing
- dialogue system
- dialogue systems
- in-car speech dialogue
- information research
- japanese dependency parsing
- language processing
- learning
- linguistic analysis
- maximum entropy
- maximum entropy method
- navigation\/information retrieval
- parsing
- parsing method
- processing
- recognition
- recognition technology
- robust dependency parsing
- robust parsing
- speech recognition
- speech recognition technology
- spoken dialogue
- spoken dialogue system
- spoken dialogue systems
- spoken language processing
- stochastic dependency parsing
- stochastic parsing
Other assigned terms:
- acoustic information
- approach
- bunsetsu
- bunsetsus
- continuous speech
- corpora
- data sparseness
- dependency grammars
- dependency structure
- dependency structures
- dialogue corpus
- dialogues
- dictionary
- discourse
- entropy
- fact
- grammars
- japanese dependency
- japanese text
- kyoto corpus
- language corpus
- lexical entries
- lexicon
- linguistic
- linguistic phenomena
- method
- morpheme
- noise
- parsing accuracy
- part-of-speech
- pause
- pauses
- phrase
- precision
- probabilities
- probability
- probability model
- relation
- speech corpus
- spoken dialogue corpus
- spoken language
- spoken language corpus
- spontaneous dialogue
- syntactic constraints
- tags
- technique
- technology
- term
- terms
- test data
- text
- text corpora
- transcript
- transcripts
- user
- utterance
- word
- words
