Novel Approaches to Arabic Speech Recognition: Report from the 2002 Johns Hopkins Summer Workshop
Abstract
Although Arabic is currently one of the most widely spoken languages in the world, there has been relatively little speech recognition research on Arabic compared to other languages. Moreover, most previous work has concentrated on the recognition of formal rather than dialectal Arabic. This paper reports on our project at the 2002 Johns Hopkins Summer Workshop, which focused on the recognition of dialectal Arabic. Three problems were addressed: (a) the lack of short vowels and other pronunciation information in Arabic texts; (b) the morphological complexity of Arabic; and (c) the discrepancies between dialectal and formal Arabic. We present novel approaches to automatic vowel restoration, morphology-based language modeling and the integration of out of-corpus language model data, and report significant word error rate improvements on the LDC Arabic Call Home task.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2002
- Accession Number
- AD1002466
Entities
People
- Daben Liu
- Dimitra Vergyri
- Feng He
- Gang Ji
- Jeff Bilmes
- John Henderson
- Katrin Kirchhoff
- Melissa Egan
- Mohamed Noamany
- Nicolae Duta
- Pat Schone
- Richard Schwartz
- Sourin Das
Organizations
- United States Department of Defense