• A mobile app that uses neurofeedback and multi-sensory learning methods improves reading abilities in dyslexia: A pilot study 

  Eroǧlu, Günet; Teber, Serap Tıraş; Ertürk, Kardelen; Kırmızı, Meltem; Ekici, Barış; Arman, Fehim; Balcısoy, Selim Saffet; Özcan, Yusuf Ziya; Çetin, Müjdat (Routledge, 2021)

  Reading comprehension is difficult to improve for children with dyslexia because of the continuing demands of orthographic decoding in combination with limited working memory capacity. Children with dyslexia get special ...

• Uyarlanır yerel bağlı katman kullanan dikkat tabanlı derin ağ ile sesli komut tanıma 

  Turkan, Yasemin; Tek, Faik Boray (Institute of Electrical and Electronics Engineers Inc., 2020-10-05)

  Sesli komut tanıma insan-makine ara yüzüyle ilişkili aktif bir araştırma konusudur. Dikkat tabanlı derin ağlar ile bu tür problemler başarılı bir şekilde çözülebilmektedir. Bu çalışmada, var olan bir dikkat tabanlı derin ...

• Adaptive convolution kernel for artificial neural networks 

  Tek, Faik Boray; Çam, İlker; Karlı, Deniz (Academic Press Inc., 2021-02)

  Many deep neural networks are built by using stacked convolutional layers of fixed and single size (often 3 × 3) kernels. This paper describes a method for learning the size of convolutional kernels to provide varying size ...

• Improved microphone array design with statistical speaker verification 

  Demir, Kadir Erdem; Eskil, Mustafa Taner (Elsevier Ltd, 2021-04)

  Conventional microphone array implementations aim to lock onto a source with given location and if required, tracking it. It is a challenge to identify the intended source when the location of the source is unknown and ...

• Türkçe WordNet oluşturulması ve makine çevirisinde kullanılması 

  Yıldız, Olcay Taner (Tübitak, 2019-12)

  Princeton kelime ağının üretilmesinden beri, diğer dillerde birçok kelime ağı üretilmiştir. Türkçe için en kapsamlı kelime ağı olan KeNet şu anda 80,000 synset içermektedir. Bu synsetler birbirleriyle anlamsal ve diller ...

• Uyarlanır yerel bağlı nöron modelinin incelemesi 

  Tek, Faik Boray (2019-04-10)

  Bu çalışmada uyarlanır yerel bağlı (odaklanan) nöron modelinin bir incelemesi sunulmuştur. Öncelikle bu modelin varolan diğer nöron modelleri ile ilişkisi incelenmiştir. Daha sonra modelin ileri beslemede çalışması ve ...

• Crossing minimization in weighted bipartite graphs 

  Çakıroğlu, Olca Arda; Erten, Cesim; Karataş, Ömer; Sözdinler, Melih (Elsevier B.V., 2009-12)

  Given a bipartite graph G = (L0, L1, E) and a fixed ordering of the nodes in L0, the problem of finding an ordering of the nodes in L1 that minimizes the number of crossings has received much attention in literature. The ...

• Creating a syntactically felicitous constituency treebank for Turkish 

  Kara, Neslihan; Marşan, Büşra; Özçelik, Merve; Arıcan, Bilge Nas; Kuzgun, Aslı; Cesur, Neslihan; Aslan, Deniz Baran; Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2020-10-15)

  In this study, Bakay et. al [1] and Yildiz et. al.'s [2] work on Turkish constituency treebanks were developed further. Compared to the previous work, the most prominent feature of this study is the fact that every annotation ...

• On building the largest and cross-linguistic Turkish dependency corpus 

  Kuzgun, Aslı; Cesur, Neslihan; Arıcan, Bilge Nas; Özçelik, Merve; Marşan, Büşra; Kara, Neslihan; Aslan, Deniz Baran; Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2020-10-15)

  In this paper, we aim to introduce the dependency annotation process of the largest and the only cross-linguistic Turkish dependency treebank which was translated from the original Penn Treebank corpus. Within the scope ...

• Visual modeling of Turkish morphology 

  Özenç, Berke; Solak, Ercan (European Language Resources Association (ELRA), 2020-05-16)

  In this paper, we describe the steps in a visual modeling of Turkish morphology using diagramming tools. We aimed to make modeling easier and more maintainable while automating much of the code generation. We released the ...

• TRopBank: Turkish PropBank V2.0 

  Kara, Neslihan; Aslan, Deniz Baran; Marşan, Büşra; Bakay, Özge; Ak, Koray; Yıldız, Olcay Taner (European Language Resources Association (ELRA), 2020-05-16)

  In this paper, we present and explain TRopBank “Turkish PropBank v2.0”. PropBank is a hand-annotated corpus of propositions which is used to obtain the predicate-argument information of a language. Predicate-argument ...

• A hybrid approach to dynamic enterprise data platform 

  Sezgin, Mehmet Selman; Bayrak, Ahmet Tuğrul; Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2019-12-12)

  Today, corporations aim to make maximum use of the data produced in business applications. One of the most important goals is to convert the data to the commercial benefit in the fastest way. For this purpose, it is critical ...

• Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression 

  Özçelik, Şuayb Talha; Tek, Faik Boray (Institute of Electrical and Electronics Engineers Inc., 2020-10-12)

  Waste planning is essential for large and developing cities such as Istanbul. In this report, we perform data analysis on "Waste Amount Based on District, Year and Waste Type"dataset shared by Istanbul Metropolitan ...

• Web service translating content into Turkish sign language 

  Gümüşçekiçci, Gizem; Ezerceli, Özay; Tek, Faik Boray (Institute of Electrical and Electronics Engineers Inc., 2020-10-12)

  The essential communication tool for people with hearing loss is sign language. It is way more efficient for their communication. Existing systems for translating the text into sign language are offline and not practical. ...

• An adaptive locally connected neuron model: Focusing neuron 

  Tek, Faik Boray (Elsevier B.V., 2021-01-02)

  This paper presents a new artificial neuron model capable of learning its receptive field in the topological domain of inputs. The experiments include tests of focusing neuron networks of one or two hidden layers on synthetic ...

• An open, extendible, and fast Turkish morphological analyzer 

  Yıldız, Olcay Taner; Avar, Begüm; Ercan, Gökhan (Incoma Ltd, 2019-09)

  In this paper, we present a two-level morphological analyzer for Turkish which consists of five main components: finite state transducer, rule engine for suffixation, lexicon, trie data structure, and LRU cache. We use ...

• English-Turkish parallel semantic annotation of Penn-Treebank 

  Arıcan, Bilge Nas; Bakay, Özge; Avar, Begüm; Yıldız, Olcay Taner; Ergelen, Özlem (Oficyna Wydawnicza Politechniki Wroclawskiej, 2020)

  This paper reports our efforts in constructing a sense-labeled English-Turkish parallel corpus using the traditional method of manual tagging. We tagged a pre-built parallel treebank which was translated from the Penn ...

• Comparing sense categorization between English propbank and english wordnet 

  Bakay, Özge; Avar, Begüm; Yıldız, Olcay Taner (Oficyna Wydawnicza Politechniki Wroclawskiej, 2020)

  Given the fact that verbs play a crucial role in language comprehension, this paper presents a study which compares the verb senses in English PropBank with the ones in English WordNet through manual tagging. After analyzing ...

• Force-directed approaches to sensor localization 

  Efrat, Alon; Forrester, David; Iyer, Anand; Kobourov, Stephen G.; Erten, Cesim (SIAM, 2006)

  We consider the centralized, anchor-free sensor localization problem. We consider the case where the sensor network reports range information and the case where in addition to the range, we also have angular information ...

• MorAz: An open-source morphological analyzer for Azerbaijani Turkish 

  Özenç, Berke; Ehsani, Razieh; Solak, Ercan (Association for Computational Linguistics (ACL), 2018)

  MorAz is an open-source morphological analyzer for Azerbaijani Turkish. The analyzer is available through both as a website for interactive exploration and as a RESTful web service for integration into a natural language ...

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