@inproceedings{6fe3887e328d4c16b022a9cf160fc402,
title = "G{\"o}r{\"u}nt{\"u} Altyazilama i{\c c}in Otomatik Terc{\"u}eyle Eǧitim K{\"u}mesi Olu{\c s}turulabilir mi?",
abstract = "Automatic image captioning has received increasing attention in recent years. Although there are many English datasets developed for this problem, there is only one Turkish dataset and it is very small compared to its English counterparts. Creating a new dataset for image captioning is a very costly and time consuming task. This work is a first step towards transferring the available, large English datasets into Turkish. We translated English captioning datasets into Turkish by using an automated translation tool and we trained an image captioning model on the automatically obtained Turkish captions. Our experiments show that this model yields the best performance so far on Turkish captioning.",
keywords = "Image captioning, computer vision, machine translation",
author = "Nermin Samet and Samet Hicsonmez and Pinar Duygulu and Emre Akbas",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 25th Signal Processing and Communications Applications Conference, SIU 2017 ; Conference date: 15-05-2017 Through 18-05-2017",
year = "2017",
month = jun,
day = "27",
doi = "10.1109/SIU.2017.7960638",
language = "T{\"u}rk{\c c}e",
series = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",
address = "!!United States",
}