TY  - INPR
A1  - Kübler, Sandra
A1  - Mohamed, Emad
A2  - Calzolari, Nicoletta
A2  - Choukri, Khalid
A2  - Maegaard, Bente
A2  - Mariani, Joseph
A2  - Odijk, Jan
A2  - Piperidis, Stelios
A2  - Tapias, Daniel
T1  - Memory-based vocalization of Arabic
N2  - The problem of vocalization, or diacritization, is essential to many tasks in Arabic NLP. Arabic is generally written without the short vowels, which leads to one written form having several pronunciations with each pronunciation carrying its own meaning(s). In the experiments reported here, we define vocalization as a classification problem in which we decide for each character in the unvocalized word whether it is followed by a short vowel. We investigate the importance of different types of context. Our results show that the combination of using memory-based learning with only a word internal context leads to a word error rate of 6.64%. If a lexical context is added, the results deteriorate slowly.
KW  - Arabisch
Y1  - 2008
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/9885
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30-1110645
UR  - http://cl.indiana.edu/~skuebler/papers/vocal.pdf
SN  - 2-9517408-4-0
N1  - Erschienen in: Nicoletta Calzolari ; Khalid Choukri ; Bente Maegaard ; Joseph Mariani ; Jan Odijk ; Stelios Piperidis ; Stelios Piperidis ; Daniel Tapias (Hrsg.): Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC-2008), May, 28-30, 2008. Marrakech, Marocco, Paris : ELRA, 2008, S. 2322-2329, ISBN: 2-9517408-4-0
ER  -