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Mehrdad Koohnavard, Berkan Celikten, Arda Buyuksungur and Kaan Orhan
This study aims to compare the shaping efficiency of the nickel?titanium instrument systems, One Reci and ProTaper Ultimate, using micro-CT (micro-computed tomography) in traditional and conservative endodontic access cavities. The experimental groups we...
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Arda Burak Ekmen, Halil Murat Algin
Pág. 707 - 728
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Mustafa Korkmaz, Fatih Mangit, Ilayda Dumlupinar, Mehmet Arda Çolak, Mustafa Berkay Akpinar, Meltem Koru, Juan Pablo Pacheco, Arely Ramírez-García, Gültekin Yilmaz, Cihelio Alves Amorim, Ibrahim Kaan Özgencil, Deniz Innal, Sedat Vahdet Yerli, Korhan Özkan, Zuhal Akyürek, Meryem Beklioglu and Erik Jeppesen
Climate change is affecting freshwater ecosystems globally, particularly those in semi-arid and arid regions. The Central Anatolian Ecoregion (CAE) in Türkiye has a semi-arid climate and is home to numerous endemic fish species. We used species distribut...
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Arda Tezcan and Bram Bulté
Previous research has shown that simple methods of augmenting machine translation training data and input sentences with translations of similar sentences (or fuzzy matches), retrieved from a translation memory or bilingual corpus, lead to considerable i...
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Erkan Türker, Emre Bulut, Arda Kahraman, Mehmet Çakici and Ferruh Öztürk
In this paper, an energy-management strategy based on fuel economy is presented to achieve a further range increase for range-extended light commercial vehicles. Estimation of the energy-management strategy was carried out using a neural-network-based su...
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Shi Cao and Yan-Zhong Li
In 2020, alfalfa root rot, a disease caused by Paraphoma radicina, was identified in Inner Mongolia, China, where it seriously affected alfalfa crop yields. Conditions for in vitro growth, sporulation and conidial germination of P. radicina are poorly un...
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Arda Tezcan, Bram Bulté and Bram Vanroy
We identify a number of aspects that can boost the performance of Neural Fuzzy Repair (NFR), an easy-to-implement method to integrate translation memory matches and neural machine translation (NMT). We explore various ways of maximising the added value o...
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Rebecca Webster, Margot Fonteyne, Arda Tezcan, Lieve Macken and Joke Daems
Due to the growing success of neural machine translation (NMT), many have started to question its applicability within the field of literary translation. In order to grasp the possibilities of NMT, we studied the output of the neural machine system of Go...
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Lieve Macken, Daniel Prou and Arda Tezcan
This paper studies the impact of machine translation (MT) on the translation workflow at the Directorate-General for Translation (DGT), focusing on two language pairs and two MT paradigms: English-into-French with statistical MT and English-into-Finnish ...
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Vincent Vandeghinste, Tom Vanallemeersch, Liesbeth Augustinus, Bram Bulté, Frank Van Eynde, Joris Pelemans, Lyan Verwimp, Patrick Wambacq, Geert Heyman, Marie-Francine Moens, Iulianna van der Lek-Ciudin, Frieda Steurs, Ayla Rigouts Terryn, Els Lefever, Arda Tezcan, Lieve Macken, Véronique Hoste, Joke Daems, Joost Buysschaert, Sven Coppers, Jan Van den Bergh and Kris LuytenaddShow full author listremoveHide full author list
When using computer-aided translation systems in a typical, professional translation workflow, there are several stages at which there is room for improvement. The SCATE (Smart Computer-Aided Translation Environment) project investigated several of these...
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