Impact of automatic comma prediction on POS/name tagging of speech

D. Hillard, Z. Huang, H. Ji, R. Grishman, D. Hakkani-Tur, M. Harper, M. Ostendorf, W. Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work looks at the impact of automatically predicted commas on part-of-speech (POS) and name tagging of speech recognition transcripts of Mandarin broadcast news. There is a significant gain in both POS and name tagging accuracy due to using automatically predicted commas over sentence boundary prediction alone. One difference between Mandarin and English is that there are two types of commas, and experiments here show that, while they can be reliably distinguished in automatic prediction, the distinction does not give a clear benefit for POS or name tagging.

Original languageEnglish (US)
Title of host publication2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006, Proceedings
Pages58-61
Number of pages4
DOIs
StatePublished - 2006
Event2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006 - Palm Beach, Aruba
Duration: Dec 10 2006Dec 13 2006

Publication series

Name2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006, Proceedings

Other

Other2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006
CountryAruba
CityPalm Beach
Period12/10/0612/13/06

Keywords

  • Natural language
  • Speech recognition

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Linguistics and Language

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    Hillard, D., Huang, Z., Ji, H., Grishman, R., Hakkani-Tur, D., Harper, M., Ostendorf, M., & Wang, W. (2006). Impact of automatic comma prediction on POS/name tagging of speech. In 2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006, Proceedings (pp. 58-61). [4123361] (2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006, Proceedings). https://doi.org/10.1109/SLT.2006.326816