Arabic Language Technologies

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Semantics Engineering & Materials Science
Syntactics Engineering & Materials Science
Classifiers Engineering & Materials Science
Neural networks Engineering & Materials Science
semantics Social Sciences
Labeling Engineering & Materials Science
Linguistics Engineering & Materials Science
language Social Sciences

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Research Output 2000 2018

An ensemble-rich multi-aspect approach for robust style change detection: Notebook for PAN at CLEF-2018

Zlatkova, D., Kopev, D., Mitov, K., Atanasov, A., Hardalov, M., Koychev, I. & Nakov, P., 1 Jan 2018, In : CEUR Workshop Proceedings. 2125

Research output: Contribution to journalConference article

Adaptive boosting

A single-model approach for Arabic segmentation, POS tagging, and named entity recognition

Freihat, A. A., Bella, G., Mubarak, H. & Giunchiglia, F., 6 Jun 2018, 2nd International Conference on Natural Language and Speech Processing, ICNLSP 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-8 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labeling
Learning systems
Pipelines
evaluation
learning
1 Citations

Automatic speech recognition of Arabic multi-genre broadcast media

Najafian, M., Hsu, W. N., Ali, A. & Glass, J., 24 Jan 2018, 2017 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 353-359 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Speech recognition
Decoding
Time delay
Acoustics
Topology