Presentation Open Access
Computational modeling of tone in language documentation: citation tones vs. running speech in Chindwin Khamti [Slides]
Dockum, Rikker
This paper examines how contextual variables can explain the significant gap in performance for unsupervised modeling of tones in Tai Khamti [ISO 639-3: kht] spoken in Myanmar. Two corpora were extracted from citation tones and tones in running speech in order to assess the utility and limitations of these methods. Taking native judgments as ground truth, current results show high precision on citation tones, between 0.93 and 1.0, in three of the four expected tonal categories, as well as recall 0.79-0.86 in all four. Tones in sentential contexts showed precision just 0.28-0.62, with recall between 0.21 and 0.63.
Files
(3.6 MB)
| Name | Size | |
|---|---|---|
|
Dockum-BLS43-slides.pdf
md5:8420deaa31e2299b654a96003a35340b |
3.6 MB | Download |
28
18
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 28 | 28 |
| Downloads | 18 | 18 |
| Data volume | 64.6 MB | 64.6 MB |
| Unique views | 28 | 28 |
| Unique downloads | 18 | 18 |
Indexed in
- Publication date:
- February 5, 2017
- DOI:
-
- Keyword(s):
- phonetics computational linguistics Tai languages Tai Khamti Kra-Dai languages language documentation
- Grants:
-
National Science Foundation:
- Doctoral Dissertation Research: Language documentation of Tai Khamti in Myanmar (1528386)
- Meeting:
- 43rd Annual Meeting of the Berkeley Linguistics Society (BLS43), Berkeley, CA, 3-5 February 2017
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International