| Effective semi-supervised learning strategies for automatic sentence segmentation D Dalva, U Guz, H Gurkan Pattern Recognition Letters 105, 76-86, 2018 | 22 | 2018 |
| Automatic speech recognition system for Turkish spoken language D Dalva Işık Üniversitesi, 2012 | 6 | 2012 |
| Extraction and comparison of various prosodic feature sets on sentence segmentation task for Turkish broadcast news data D Dalva, ID Revidi, U Guz, H Gurkan 2014 11th International Joint Conference on Computer Science and Software …, 2014 | 5 | 2014 |
| Extracting the prosodic information for Turkish broadcast news data and using on the sentence segmentation task D Dalva, ID Revidi, U Guz, H Gurkan 2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014 | 4 | 2014 |
| Extension of conventional co-training learning strategies to three-view and committee-based learning strategies for effective automatic sentence segmentation D Dalva, U Guz, H Gurkan 2018 IEEE Spoken Language Technology Workshop (SLT), 750-755, 2018 | 2 | 2018 |
| Co-training using prosodic, lexical and morphological information for automatic sentence segmentation of Turkish spoken language D Dalva Işık Üniversitesi, 2018 | 1 | 2018 |
| Işık Üniversitesi ileri teknolojinin önemli bir parçası G İldaş, Ü Güz, S Yarman, D Dalva Show TV, 2011 | | 2011 |
| Bürünsel, Sözcüksel ve Biçimbilgisel Bilgiyi Kullanan Eş-Eğitim ile Türkçe Konuşma Dilinin Otomatik Cümle Bölütlemesi D Dalva | | |
UMIT GUZIsik University, Engineering Faculty, Department of Electrical-Electronics EngineeringVerified email at isikun.edu.tr
