Automatic modeling of Turkish prosody.

Oskay, Banu


Automatic speech segmentation and database annotation.
Özbek, İ. Yücel; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2002)
Automatic composition of semantic web services with the abductive event calculus
Kırcı, Esra; Çiçekli, Fehime Nihan; Department of Computer Engineering (2008)
In today's world, composite web services are widely used in service oriented computing, web mashups and B2B Applications etc. Most of these services are composed manually. However, the complexity of manually composing web services increase exponentially with the increase in the number of available web services, the need for dynamically created/updated/discovered services and the necessity for higher amount of data bindings and type mappings in longer compositions. Therefore, current highly manual web servic...
Automatic identification of pronominal anaphora in Turkish texts
Kucuk, Dilek; Yondem, Meltem Turhan (2007-11-09)
Anaphora identification is an important problem especially for its impact on anaphora and coreference resolution systems. In this paper, a system that automatically identifies anaphoric pronouns in Turkish is presented. The proposed system takes a decision tree learning approach, that of Quinlan's C 4.5, where a corpus examination is carried out to determine linguistic features specific to Turkish which are to be used by the decision tree learner. The proposed system is significant especially for its ease o...
Automatic disambiguation of Turkish discourse connectives based on a Turkish connective lexicon
Başıbüyük, Kezban; Doğru, Ali Hikmet; Zeyrek Bozşahin, Deniz; Department of Computer Engineering (2021-8-31)
In this thesis, we developed methods for disambiguating the discourse usage and sense of connectives in a given free Turkish text. For this purpose, we firstly built a comprehensive Turkish Connective Lexicon (TCL) including all types of connectives in Turkish together with their syntactic and semantic features. This lexicon is built automatically by using the discourse relation annotations in several discourse annotated corpora developed for Turkish and follows the format of the German connective lexicon, ...
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Bernardi, Raffaella; Cakici, Ruket; Elliott, Desmond; Erdem, Aykut; Erdem, Erkut; Ikizler-Cinbis, Nazli; Keller, Frank; Muscat, Adrian; Plank, Barbara (AI Access Foundation, 2016-2-23)
Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we classify the existing approaches based on how they conceptualize this problem, viz., models that cast description as either generation problem or as a retrieval problem over a visual or multimodal representational space. We provide a detailed review of existing models, highlighting their ad...
Citation Formats
B. Oskay, “Automatic modeling of Turkish prosody.,” Middle East Technical University, 2002.