ACL RD-TEC 1.0 Summarization of P03-1032
Paper Title:
EXTRACTING KEY SEMANTIC TERMS FROM CHINESE SPEECH QUERY FOR WEB SEARCHES
EXTRACTING KEY SEMANTIC TERMS FROM CHINESE SPEECH QUERY FOR WEB SEARCHES
Authors: Gang Wang and Tat-Seng Chua and Yong-Cheng Wang
Primarily assigned technology terms:
- algorithm
- character matching
- chinese speech recognition
- divide-and-conquer approach
- document retrieval
- finite state
- finite state automata
- illustration
- information retrieval
- information retrieval system
- internet
- language query processing
- matching
- model generation
- modeling
- multi-tier mapping
- parsing
- processing
- query processing
- recognition
- recognition engine
- recognition technology
- retrieval system
- rule-based approach
- search
- search engine
- search engines
- segmentation
- speech recognition
- speech recognition engine
- speech recognition technology
- speech-to-text
- spoken document retrieval
- spoken query processing
- string matching
- tagging
- word recognition
Other assigned terms:
- approach
- automata
- bag of words
- base noun
- base noun phrase
- break
- case
- characters
- chinese characters
- chinese sentence
- chinese words
- concepts
- confusion matrix
- dictionary
- document
- error rate
- events
- fact
- generation
- heuristic
- mapping
- maps
- measure
- measures
- method
- named entities
- named entity
- names
- natural language
- natural language query
- noise
- noun phrase
- noun phrases
- occurrence probability
- parse
- parts of speech
- phrase
- precision
- prepositions
- probabilities
- probability
- process
- queries
- query
- query model
- query term
- recognition error rate
- recognition errors
- recognition rate
- segments
- semantic
- semantic structure
- semantic tag
- semantic tags
- sentence
- speech recognition error
- speech recognition errors
- spoken language
- spoken natural language
- symbol
- tags
- technique
- technology
- term
- terms
- text
- tokens
- topics
- training
- user
- verb
- vertex
- vocal tract
- word
- word lists
- words
