Extraction and comparison of various prosodic feature sets on sentence segmentation task for Turkish broadcast news data
Yükleniyor...
Dosyalar
Tarih
2014
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this work, prosodic features of the Turkish Broadcast News (BN) data are extracted using an open source prosodic feature extraction tool based on Praat. The profiles and effectiveness of these features are also investigated for the sentence segmentation task on the Turkish BN data. We not only used some combinations of the feature sets but also collected some of them in one prosodic feature model in order to achieve one of the best performance. The results of the experiments show that some combinations of the prosodic feature sets are very useful for the automatic sentence segmentation task on the Turkish BN data.
Açıklama
Anahtar Kelimeler
Prosodic Feature Extraction, Prosody, Sentence Segmentation, Praat, Turkish Broadcast News data, Open source prosodic feature extraction tool, Prosodic feature sets, Sentence segmentation task, Feature extraction, Natural language processing, Public domain software, Task analysis
Kaynak
2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Dalva, D., Revidi, İ. D., Güz, Ü. & Gürkan, H. (2014). Extraction and comparison of various prosodic feature sets on sentence segmentation task for turkish broadcast news data. Paper presented at the 2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE), 70-73. doi:10.1109/JCSSE.2014.6841844
