Paper Info
Title
Exploring Minimal Pronunciation Modeling For Low Resource Languages
Abstract
Pronunciation lexicons can range from fully graphemic (modeling each word using the orthography directly) to fully phonemic (first mapping each word to a phoneme string). Between these two options lies a continuum of modeling options. We analyze techniques that can improve the accuracy of a graphemic system without requiring significant effort to design or implement. The analysis is performed in the context of the IARPA Babel project, which aims to develop spoken term detection systems for previously unseen languages rapidly, and with minimal human effort. We consider techniques related to letter-to-sound mapping and language-independent syllabification of primarily graphemic systems, and discuss results obtained for six languages: Cebuano, Kazakh, Kurmanji Kurdish, Lithuanian, Telugu and Tok Pisin.
Year
Venue
Keywords
2015
16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOLS 1-5
spoken term detection, graphemic systems, pronunciation lexicons
Field
DocType
Citations 
Pronunciation,Annotation,Disclaimer,Computer science,Linguistics,Government
Conference
1
PageRank 
References 
Authors
0.37
0
7
Name
Order
Citations
PageRank
Marelie H. Davel123622.70
Etienne Barnard243857.85
Charl Johannes van Heerden313312.50
William Hartmann46410.66
Damianos Karakos522119.35
Richard M. Schwartz62839717.76
Stavros Tsakalidis721313.83