Paper: Improving the Arabic Pronunciation Dictionary for Phone and Word Recognition with Linguistically-Based Pronunciation Rules

ACL ID N09-1045
Title Improving the Arabic Pronunciation Dictionary for Phone and Word Recognition with Linguistically-Based Pronunciation Rules
Venue Human Language Technologies
Session Main Conference
Year 2009
Authors

In this paper, we show that linguistically mo- tivated pronunciation rules can improve phone and word recognition results for Modern Stan- dard Arabic (MSA). Using these rules and the MADA morphological analysis and dis- ambiguation tool, multiple pronunciations per word are automatically generated to build two pronunciation dictionaries; one for training and another for decoding. We demonstrate that the use of these rules can significantly improve both MSA phone recognition and MSA word recognition accuracies over a base- line system using pronunciation rules typi- cally employed in previous work on MSA Au- tomatic Speech Recognition (ASR). We ob- tain a significant improvement in absolute ac- curacy in phone recognition of 3.77%–7.29% and a significant improvement of 4.1% in ab- solute...