Characterizing Deletion Transformations across Dialects using a Sophisticated Tying Mechanism
Abstract
We propose a sophisticated tying mechanism for modeling deletion transformations between dialects. We empirically show that the proposed tying mechanism reduces deletion errors by 33% when compared to a baseline system using a standard tying mechanism. Statistical tests show that the proposed and baseline models make statistically different errors, thus suggesting that they are complementary systems in dialect recognition tasks. Pronunciation rules learned by our proposed system quantify the occurrence frequency of known rules, and suggest rule candidates for further linguistic studies.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 30, 2011
- Accession Number
- ADA570549
Entities
People
- Joseph P. Campbell
- Nancy F. Chen
- Wade Shen
Organizations
- Massachusetts Institute of Technology