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 language | English (US) |
|---|---|
| Title of host publication | 2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006, Proceedings |
| Pages | 58-61 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2006 |
| Event | 2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006 - Palm Beach, Aruba Duration: Dec 10 2006 → Dec 13 2006 |
Publication series
| Name | 2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006, Proceedings |
|---|
Other
| Other | 2006 IEEE ACL Spoken Language Technology Workshop, SLT 2006 |
|---|---|
| Country | Aruba |
| City | Palm Beach |
| Period | 12/10/06 → 12/13/06 |
Keywords
- Natural language
- Speech recognition
ASJC Scopus subject areas
- Language and Linguistics
- Human-Computer Interaction
- Linguistics and Language
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Cite this
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