Summary of the paper
| Title | A Large Arabic Broadcast News Speech Data Collection |
|---|---|
| Authors | Niklas Paulsson, Khalid Choukri, Djamel Mostefa, Denise DiPersio, Meghan Glenn and Stephanie Strassel |
| Abstract | This paper describes the collection and transcription of large amounts of Arabic broadcast news speech data. More than 4000 hours of satellite data have been collected from various Arabic sources. The data was recorded from selected Arabic TV and radio stations in both Modern Standard Arabic and dialectal Arabic. Also, close to 2400 hours of data from a large selection of Arabic sources were transcribed. The orthographic transcriptions used the Quick Rich Transcription (QRTR) method and included segmentation, speaker turns, topics, sentence unit types and minimal noise mark-up. A validation procedure was also established to apply a quality control measure to the transcripts. |
| Topics | Evaluation, validation, quality assurance of Arabic LRs, LRs for linguistic research in human-machine communication, Methods, tools and procedures for acquisition, creation, management, access, distribution and use of Arabic LRs |
Full paper  |
A Large Arabic Broadcast News Speech Data Collection |
| Bibtex | @InProceedings{PAULSSON09.79, author = {Niklas Paulsson, Khalid Choukri, Djamel Mostefa, Denise DiPersio, Meghan Glenn and Stephanie Strassel}, title = {A Large Arabic Broadcast News Speech Data Collection}, booktitle = {Proceedings of the Second International Conference on Arabic Language Resources and Tools}, year = {2009}, month = {April}, date = {22-23}, address = {Cairo, Egypt}, editor = {Khalid Choukri and Bente Maegaard}, publisher = {The MEDAR Consortium}, isbn = {2-9517408-5-9}, language = {english} } |