Quick Rich Transcriptions of Arabic Broadcast News Speech Data

This paper describes the collect and transcription of a large set of Arabic broadcast news speech data. A total of more than 2000 hours of data was transcribed. The transcription factor for transcribing the broadcast news data has been reduced using a method such as Quick Rich Transcription (QRTR) as well as reducing the number of quality controls performed on the data. The data was collected from several Arabic TV and radio sources and from both Modern Standard Arabic and dialectal Arabic. The orthographic transcriptions included segmentation, speaker turns, topics, sentence unit types and a minimal noise mark-up. The transcripts were produced as a part of the GALE project.

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Chomicha Bendahman, Meghan Lammie Glenn, Djamel Mostefa, Niklas Paulsson, Stephanie Strassel
• Keywords: Education, LREC 2008, Modern Standard Arabic, Quick Rich Transcription, Speech Data