Browsing by Subject "Turkishs"

Now showing 1 - 18 of 18

Open Access
An aspect-oriented tool framework for developing process-sensitive embedded user assistance systems
(2011) Tekinerdoǧan, B.; Bozbey, S.; Mester, Y.; Turançiftci, E.; Alkişlar L.
Process-sensitive embedded user assistance aims to provide the end-user the necessary guidance based on the state of the process that is being followed. Unfortunately, the development of these systems is not trivial and has to meet several challenges. The main difficulties appear to be related to integration of process-sensitive guidance in the application and the crosscutting behavior of help concerns. To address these issues we developed an aspect-oriented tool framework Assistant-Pro that can be used to develop process-sensitive embedded user assistance for multiple applications. The framework provides tools for defining the process model, defining guidance related to process steps, and modularizing and weaving help concerns in the target application for which user guidance needs to be provided. The framework has been developed and validated in the context of Aselsan, a large Turkish defense electronics company. © 2011 Springer-Verlag Berlin Heidelberg.
Open Access
Automatic rule learning exploiting morphological features for named entity recognition in Turkish
(2011) Tatar, S.; Cicekli I.
Named entity recognition (NER) is one of the basic tasks in automatic extraction of information from natural language texts. In this paper, we describe an automatic rule learning method that exploits different features of the input text to identify the named entities located in the natural language texts. Moreover, we explore the use of morphological features for extracting named entities from Turkish texts. We believe that the developed system can also be used for other agglutinative languages. The paper also provides a comprehensive overview of the field by reviewing the NER research literature. We conducted our experiments on the TurkIE dataset, a corpus of articles collected from different Turkish newspapers. Our method achieved an average F-score of 91.08% on the dataset. The results of the comparative experiments demonstrate that the developed technique is successfully applicable to the task of automatic NER and exploiting morphological features can significantly improve the NER from Turkish, an agglutinative language. © The Author(s) 2011.
Open Access
The choice of monetary policy tool(s) and relative price variability: evidence from Turkey
(A N S I Network, 2009) Berument, Hakan; Sahin, A.; Saracoglu, B.
The aim of this study is to assess any regularity relative price dispersion for the effect of monetary policy tool selection. Central banks use tools such as interbank rate and exchange rate when pursuing their (monetary) policies. The selected tools affect economic variables differently. By using Turkish monthly data for the 1988:2-2008:2 period, this study suggests that pure policies (such as interbank rate only or exchange rate only) increase relative price variability more than mixed policies, where the monetary authorities use the above tools simultaneously. © 2009 Asian Network for Scientific Information.
Open Access
Developing a text categorization template for Turkish news portals
(IEEE, 2011) Toraman, Çağrı; Can, Fazlı; Koçberber, Seyit
In news portals, text category information is needed for news presentation. However, for many news stories the category information is unavailable, incorrectly assigned or too generic. This makes the text categorization a necessary tool for news portals. Automated text categorization (ATC) is a multifaceted difficult process that involves decisions regarding tuning of several parameters, term weighting, word stemming, word stopping, and feature selection. In this study we aim to find a categorization setup that will provide highly accurate results in ATC for Turkish news portals. We also examine some other aspects such as the effects of training dataset set size and robustness issues. Two Turkish test collections with different characteristics are created using Bilkent News Portal. Experiments are conducted with four classification methods: C4.5, KNN, Naive Bayes, and SVM (using polynomial and rbf kernels). Our results recommends a text categorization template for Turkish news portals and provides some future research pointers. © 2011 IEEE.
Open Access
An English-to-Turkish interlingual MT system
(Springer, 1998-10) Hakkani, Dilek Zeynep; Tür, Gökhan; Oflazer, Kemal; Mitamura, T.; Nyberg, E.H.
This paper describes the integration of a Turkish generation system with the KANT knowledge-based machine translation system to produce a prototype English-Turkish interlingua-based machine translation system. These two independently constructed systems were successfully integrated within a period of two months, through development of a module which maps KANT interlingua expressions to Turkish syntactic structures. The combined system is able to translate completely and correctly 44 of 52 benchmark sentences in the domain of broadcast news captions. This study is the first known application of knowledge-based machine translation from English to Turkish, and our initial results show promise for future development. © Springer-Verlag Berlin Heidelberg 1998.
Open Access
Investigation of ionospheric trend over Turkey using sliding window statistical analysis method
(IEEE, 2013) Deviren, M. N.; Arikan, F.; Arıkan, Orhan
In this paper, variability of trend over Turkey is investigated statistically by Sliding Window Statistical Analysis (SWSA) method. First and second moment of the variability of ionospheric trend is calculated by SWSA method in a period of several years. Variance bounds are also obtained. This method is applied to Total Electron Content (TEC) estimates which are obtained from Turkish National Permanent GPS Network (TNPGNActive) between 2009 and 2012. The Wide Sense Stationarity (WSS) period of ionospheric trend over Turkey is determined for the first time. © 2013 IEEE.
Open Access
Investigation on the reliability of earthquake prediction based on ionospheric electron content variation
(ISIF, 2013-07) Akyol, Ali Alp; Arıkan, Orhan; Arıkan F.; Deviren, M. N.
Due to lack of statistical reliability analysis of earthquake precursors, earthquake prediction from ionospheric parameters is considered to be controversial. In this study, reliability of earthquake prediction is investigated using dense TEC data estimated from the Turkish National Permanent GPS Network (TNPGN- Active). © 2013 ISIF ( Intl Society of Information Fusi.
Open Access
New event detection and topic tracking in Turkish
(John Wiley & Sons, Inc., 2010) Can, F.; Kocberber, S.; Baglioglu, O.; Kardas, S.; Ocalan, H. C.; Uyar, E.
Topic detection and tracking (TDT) applications aim to organize the temporally ordered stories of a news stream according to the events. Two major problems in TDT are new event detection (NED) and topic tracking (TT). These problems focus on finding the first stories of new events and identifying all subsequent stories on a certain topic defined by a small number of sample stories. In this work, we introduce the first large-scale TDT test collection for Turkish, and investigate the NED and TT problems in this language. We present our test-collection-construction approach, which is inspired by the TDT research initiative. We show that in TDT for Turkish with some similarity measures, a simple word truncation stemming method can compete with a lemmatizer-based stemming approach. Our findings show that contrary to our earlier observations on Turkish information retrieval, in NED word stopping has an impact on effectiveness. We demonstrate that the confidence scores of two different similarity measures can be combined in a straightforward manner for higher effectiveness. The influence of several similarity measures on effectiveness also is investigated. We show that it is possible to deploy TT applications in Turkish that can be used in operational settings. © 2010 ASIS&T.
Open Access
Novelty detection for topic tracking
(John Wiley & Sons, Inc., 2012) Aksoy, C.; Can, F.; Kocberber, S.
Multisource web news portals provide various advantages such as richness in news content and an opportunity to follow developments from different perspectives. However, in such environments, news variety and quantity can have an overwhelming effect. New-event detection and topic-tracking studies address this problem. They examine news streams and organize stories according to their events; however, several tracking stories of an event/topic may contain no new information (i.e., no novelty). We study the novelty detection (ND) problem on the tracking news of a particular topic. For this purpose, we build a Turkish ND test collection called BilNov-2005 and propose the usage of three ND methods: a cosine-similarity (CS)-based method, a language-model (LM)-based method, and a cover-coefficient (CC)-based method. For the LM-based ND method, we show that a simpler smoothing approach, Dirichlet smoothing, can have similar performance to a more complex smoothing approach, Shrinkage smoothing. We introduce a baseline that shows the performance of a system with random novelty decisions. In addition, a category-based threshold learning method is used for the first time in ND literature. The experimental results show that the LM-based ND method significantly outperforms the CS- and CC-based methods, and categorybased threshold learning achieves promising results when compared to general threshold learning. © 2011 ASIS&T.
Open Access
R.E. Kalman: A great human being
(2010) Özgüler, A.B.
I came to know about Prof. Kalman through a Turkish post-doc of his during my M.Sc. studies at Middle East Technical University. When I learned that I was accepted to carry on my doctoral studies under his supervision, I was excited, happy, and very scared. © 2006 IEEE.
Open Access
Space weather activities of IONOLAB group using TNPGN GPS Network
(IEEE, 2011) Aktug, B.; Lenk O.; Kurt, M.; Parmaksiz, E.; Ozdemir, S.; Arikan F.; Sezen, U.; Toker, C.; Arıkan, Orhan
Characterization and constant monitoring of variability of the ionosphere is of utmost importance for the performance improvement of HF communication, Satellite communication, navigation and guidance systems, Low Earth Orbit (LEO) satellite systems, Space Craft exit and entry into the atmosphere and space weather. Turkish National Permanent GPS Network (TNPGN) is the Reference Station Network of 146 continuously-operating GNSS stations of which are distributed uniformly across Turkey and North Cyprus Turkish Republic since May 2009. IONOLAB group is currently investigating new techniques for space-time interpolation, and automatic mapping of TEC through a TUBITAK research grant. It is utmost importance to develop regional stochastic models for correction of ionospheric delay in geodetic systems and also form a scientific basis for communication link characterization. This study is a brief summary of the efforts of IONOLAB group in monitoring of space weather, and correction of geodetic positioning errors due to ionosphere using TNPGN. © 2011 IEEE.
Open Access
Space-time interpolation and automatic mapping of TEC using TNPGN-active
(2011-08) Arıkan, F.; Arıkan, Orhan; Sezen, U.; Toker, C.; Aktug, B.; Lenk, O.; Kurt ,M.; Parmaksız, E.
Turkish National Permanent GPS Network (TNPGN) is the Reference Station Network of 146 continuously-operating GNSS stations o which are distributed uniformly across Turkey and North Cyprus Turkish Republic since May 2009. IONOLAB group, formed by researchers and students in Hacettepe University, Bilkent University and General Command of Mapping is currently investigating new techniques for space-time interpolation, and automatic mapping of TEC through a TUBITAK research grant. This study presents the developments in monitoring of space weather, and correction of geodetic positioning errors due to ionosphere using TNPGN. © 2011 IEEE.
Open Access
Stylistic document retrieval for Turkish
(IEEE, 2009-09) Zamalieva, Daniya; Kalaycılar, Fırat; Kale, Aslı; Pehlivan, Selen; Can, Fazlı
In information retrieval (IR) systems, there are a query and a collection of documents compared with this query and ranked according to a particular similarity measure. Since texts with the same content can be written by different authors, the writing styles of the documents change as well accordingly. This observation brings the idea of investigating text by means of style. In this paper, we analyze text documents in terms of stylistic features of the written text and measure effectiveness of these features in an IR system. Our main focus is on Turkish text documents. Although there are many studies about broadening IR systems with style based enhancement, there is no similar application for Turkish which performs retrieval depending purely on style. © 2009 IEEE.
Open Access
Text summarization of turkish texts using latent semantic analysis
(ACM, 2010) Ozsoy, M.G.; Çiçekli, İlyas; Alpaslan F.N.
Text summarization solves the problem of extracting important information from huge amount of text data. There are various methods in the literature that aim to find out well-formed summaries. One of the most commonly used methods is the Latent Semantic Analysis (LSA). In this paper, different LSA based summarization algorithms are explained and two new LSA based summarization algorithms are proposed. The algorithms are evaluated on Turkish documents, and their performances are compared using their ROUGE-L scores. One of our algorithms produces the best scores.
Open Access
Transformational leadership and organizational innovation: the roles of internal and external support for innovation
(Wiley-Blackwell Publishing, 2009) Gumusluğlu, L.; Ilsev, A.
Leadership has been suggested to be an important factor affecting innovation. A number of studies have shown that transformational leadership positively influences organizational innovation. However, there is a lack of studies examining the contextual conditions under which this effect occurs or is augmented. Therefore, this study aimed to investigate the impact of transformational leadership on organizational innovation and to determine whether internal and external support for innovation as contextual conditions influence this effect. Organizational innovation was conceptualized as the tendency of the organization to develop new or improved products or services and its success in bringing those products or services to the market. Transformational leadership was hypothesized to have a positive influence on organizational innovation. Furthermore, this effect was proposed to be moderated by internal support for innovation, which refers to an innovation supporting climate and adequate resources allocated to innovation. Support received from external organizations for the purposes of knowledge and resource acquisition was also proposed to moderate the relationship between transformational leadership and organizational innovation. To test these hypotheses, data were collected from 163 research and development (R&D) employees and managers of 43 micro- and small-sized Turkish entrepreneurial software development companies. Two separate questionnaires were used to collect the data. Employees' questionnaires included measures of transformational leadership and internal support for innovation, whereas managers' questionnaires included questions about product innovations of their companies and the degree of support they received from external institutions. Organizational innovation was measured with a market-oriented criterion developed specifically for developing countries and newly developing industries. Hierarchical regression analysis was used to test the hypothesized effects. The results of the analysis provided support for the positive influence of transformational leadership on organizational innovation. This finding is significant because this positive effect was identified in micro- and small-sized companies, whereas previous research focused mainly on large companies. In addition, external support for innovation was found to significantly moderate this effect. Specifically, the relationship between transformational leadership and organizational innovation was stronger when external support was at high levels than when there was no external support. This study is the first to investigate and empirically show the importance of this contextual condition for organizational innovation. The moderating effect of internal support for innovation, however, was not significant. This study shows that transformational leadership is an important determinant of organizational innovation and encourages managers to engage in transformational leadership behaviors to promote organizational innovation. In line with this, transformational leadership, which is heavily suggested to be a subject of management training and development in developed countries, should also be incorporated into such programs in developing countries. Moreover, this study highlights the importance of external support in the organizational innovation process. The results suggest that technical and financial support received from outside the organization can be a more important contextual influence in boosting up innovation than an innovation-supporting internal climate. Therefore, managers, particularly of micro- and small-sized companies, should play external roles such as boundary spanning and should build relationships with external institutions that provide technical and financial support. The findings of this study are especially important for managers of companies that plan to or currently operate in countries with developing economies.
Open Access
Translation relationship quantification: A cluster-based approach and its application to Shakespeare's sonnets
(Springer, Dordrecht, 2010) Can, Fazlı; Can, Ethem F.; Karbeyaz, Ceyhun
We introduce a method for quantifying translation relation-ship between source and target texts.In this method, we partition source and target texts into corresponding blocks and cluster them separately using word phrases extracted by a suffx tree approach. We quantify the translation relationship by examining the similarity between source and target clustering structures. In this comparison we aim to observe that their similarity is meaningful, i.e., it is significantly different from random. The method is based on the hypothesis that similarities and dis-similarities among the source blocks will not be lost in translation and reappear among target blocks. For testing we use Shakespeare's sonnets and its translation in Turkish. The results show that our method suc-cessfully quantifies translation relationships. © 2011 Springer Science+Business Media B.V.
Open Access
Turkish keyphrase extraction using multi-criterion ranking
(IEEE, 2009-09) Özdemir, Bahadır; Çiçekli, İlyas
Keyphrases have been extensively used for indexing and searching in databases and information retrieval systems. In addition, they provide useful information about semantic content of a document. In this paper, we propose an algorithm for automating Turkish keyphrase extraction. Several features of candidate phrases are exploited and form the extraction task as a problem of finding optimal set of candidate phrases. We use multi-criterion ranking to tackle this problem. © 2009 IEEE.
Open Access
Values and risk perceptions: a cross-cultural examination
(Wiley-Blackwell Publishing, 2013) Kaptan, G.; Shiloh, S.; Önkal, D.
This article examines the relationship between values and risk perceptions regarding terror attacks. The participants in the study are university students from Turkey (n = 536) and Israel (n = 298). Schwartz value theory (1992, 1994) is applied to conceptualize and measure values. Cognitive (perceived likelihood and perceived severity) and emotional (fear, helplessness, anger, distress, insecurity, hopelessness, sadness, and anxiety) responses about the potential of (i) being personally exposed to a terror attack, and (ii) a terror attack that may occur in one's country are assessed to measure risk perceptions. Comparison of the two groups suggests that the Turkish participants are significantly more emotional about terror risks than the Israeli respondents. Both groups perceive the risk of a terror attack that may occur in their country more likely than the risk of being personally exposed to a terror attack. No significant differences are found in emotional representations and perceived severity ratings regarding these risks. Results provide support for the existence of a link between values and risk perceptions of terror attacks. In both countries, self-direction values are negatively related to emotional representations, whereas security values are positively correlated with emotions; hedonism and stimulation values are negatively related to perceived likelihood. Current findings are discussed in relation to previous results, theoretical approaches (the social amplification of risk framework and cultural theory of risk), and practical implications (increasing community support for a course of action, training programs for risk communicators). © 2012 Society for Risk Analysis.