Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Türkçe Sözcükler için Spesifik Duygu Normları Geliştirme Çalışması.
Date
2016-09-11
Author
Kapucu Eryar, Aycan
Kılıç Özhan, Aslı
Özkılıç Kartal, Yıldız
Sarıbaz, Bengisu
Metadata
Show full item record
Item Usage Stats
234
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/84865
Collections
Unverified, Conference / Seminar
Suggestions
OpenMETU
Core
Türkçe Bağlaçlar Üzerine Gelişimsel Bir Çalışma
Uğuz, Enis; Özge, Duygu (2020-01-01)
An Experimental study on abstract anaphora resolution in Turkish written discourse
Ergin Somer, Rabiye; Zeyrek Bozşahin, Deniz; Acartürk, Cengiz; Department of Cognitive Sciences (2012)
This thesis provides an experimental approach to abstract anaphora resolution in Turkish written discourse. The core of this work consists of identifying various manifestations of abstract anaphoric expressions –bu vs. bu durum, bu olay, bu iş, bu gerçek (bu as the bare abstract object anaphor vs. bu+label abstract anaphors)- in Turkish discourse, and investigating whether any difference is observed in their processing. To this end, two offline experiments are conducted with human subjects, and the results ...
An inter-annotator agreement measurement methodology for the Turkish Discourse Bank (TDB)
Yalçınkaya, Şaban İhsan; Zeyrek Bozşahin, Deniz; Department of Cognitive Sciences (2010)
In the TDB[1]-like corpora annotation efforts, which are constructed by the intuitions of the annotators, the reliability of the corpus can only be determined via correct interannotator agreement measurement methodology (Artstein, & Poesio, 2008). In this thesis, a methodology was defined to measure the inter-annotator agreement among the TDB annotators. The statistical tests and the agreement coefficients that are widely used in scientific communities, including Cochran’s Q test (1950), Fleiss’ Kappa (1971...
A study on language modeling for Turkish large vocabulary continuous speech recognition
Bayer, Ali Orkan; Turhan Yöndem, Meltem; Department of Computer Engineering (2005)
This study focuses on large vocabulary Turkish continuous speech recognition. Continuous speech recognition for Turkish cannot be performed accurately because of the agglutinative nature of the language. The agglutinative nature decreases the performance of the classical language models that are used in the area. In this thesis firstly, acoustic models using different parameters are constructed and tested. Then, three types of n-gram language models are built. These involve class-based models, stem-based mo...
Language modeling for Turkish continuous speech recognition
Şahin, Serkan; Çiloğlu, Tolga; Department of Electrical and Electronics Engineering (2003)
This study aims to build a new language model for Turkish continuous speech recognition. Turkish is very productive language in terms of word forms because of its agglutinative nature. For such languages like Turkish, the vocabulary size is far from being acceptable from only one simple stem, thousands of new words can be generated using inflectional and derivational suffixes. In this work, word are parsed into their stem and endings. First of all, we consider endings as words and we obtained bigram probabi...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. Kapucu Eryar, A. Kılıç Özhan, Y. Özkılıç Kartal, and B. Sarıbaz, “Türkçe Sözcükler için Spesifik Duygu Normları Geliştirme Çalışması.,” 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/84865.