Using Corpora For Language Research

Say, Bilge
Suitable for graduate students interested in doing theoretical or applied (computational, ELT, etc.) linguistic research using corpora.The study of language using corpora. Usage of corpora within linguistics and cognitive science. Definition and varieties of corpora. Building a corpus: sampling, representativeness, encoding and annotation. Characteristics of major available corpora. Necessary statistics to interpret corpus data. Using corpora: corpora in psycholinguistics, corpora and syntax, semantics, and discourse; statistical natural language processing. Using (or writing tools) for corpus-based language studies. Conducting a research project on available corpora.


Lookıng At The Elt Methods Through The Eyes Of Teachers At Work An Analysıs
Bilgi, Şeniz (2015-09-01)
Approaches to English Language Teaching (ELT) and methodology courses are the indispensable parts of the undergraduate programs in ELT Departments. Starting from their sophomore years, students take a variety of methodology courses where they get to know the theory of language teaching along with the techniques. Yet, when they graduate and become teachers themselves, whether they are able to apply what they have learnt in theory to practice is rather questionable and is an area open to research since some a...
Using zipf frequencies as a representativeness measure in statistical active learning of natural language
Çobanoğlu, Onur; Bozşahin, Hüseyin Cem; Department of Computer Engineering (2008)
Active learning has proven to be a successful strategy in quick development of corpora to be used in statistical induction of natural language. A vast majority of studies in this field has concentrated on finding and testing various informativeness measures for samples; however, representativeness measures for samples have not been thoroughly studied. In this thesis, we introduce a novel representativeness measure which is, being based on Zipf's law, model-independent and validated both theoretically and em...
Pattern recognition in bistable networks
VLADIMIR, CHINAROV; Halıcı, Uğur; Leblebicioğlu, Mehmet Kemal (1999-04-08)
Present study concerns the problem of learning, pattern recognition and computational abilities of a homogeneous network composed from coupled bistable units. An efficient learning algorithm is developed. New possibilities for pattern recognition may be realized due to the developed technique that permits a reconstruction of a dynamical system using the distributions of its attractors. In both cases the updating procedure for the coupling matrix uses the minimization of least-mean-square errors between the ...
Development of an educational CFD software for two dimensional incompressible flows
Nakiboğlu, Güneş; Sert, Cüneyt; Department of Mechanical Engineering (2007)
The main purpose of this research is to develop a Computational Fluid Dynamics (CFD) software to be used as an educational tool in teaching introductory level fluid mechanics and CFD courses. The software developed for this purpose is called Virtual Flow Lab. It has a graphical user interface (GUI) that enables basic pre-processing, solver parameter and boundary condition setting and post-processing steps of a typical CFD simulation. The pressure-based solver is capable of solving incompressible, laminar, s...
Connecting Brain and Learning Sciences An Optical Brain Imaging Approach to Monitoring Development of Expertise in UAV Piloting
Çakır, Murat Perit; Menda, Justin; İzzetoğlu, Kurtuluş; Onaral, Banu (2010-06-29)
In this paper we present our ongoing research project on UAV operator training and cognitive workload assessment for safe piloting to exemplify the potential for conducting interdisciplinary research that incorporates insights from learning sciences and cognitive neuroscience. The goal of the project is to devise cognitive neuromarkers to assess the cognitive workload experienced by UAV operators and to monitor their development of expertise through analysis of optical brain imaging data and flight-training...
Citation Formats
B. Say, “Using Corpora For Language Research,” 00, 2010, Accessed: 00, 2020. [Online]. Available: