A Comparison of comprehensibility between controlled Turkish and graphical representations

Canpolat Şahin, Müge
There are studies which show that visual representations, given in appropriate formats consistent with the context, are more informative and easy to understand as compared to textual representations (e.g., Simon & Larkin, 1980; Schnotz & Bannert, 2003; Carney & Levin, 2002). However, the factors affecting the comprehensibility of visual and textual representations should be taken into account before coming up with this conclusion. The quality of a text is closely related to the linguistic abilities of its writer. This subjective factor makes it difficult to compare textual representations with graphical ones, which may yield unreliable results. To be more precise, depending on the linguistic abilities of the writer, a plain text may contain various redundant or ambiguous words or sentences which may confuse readers and lower the comprehensibility of the text. Although graphical representations generally code only core information, depending on the quality of the used notation they may also be ambiguous for its interpreters. In order to make a comparison of comprehensibility between texts and graphical representations in a right manner, it must be ensured that the text to be compared does not contain ambiguous elements or unnecessarily complex sentence structures. Similarly, the graphical representation should also be eliminated from ambiguous structures. This study aims to provide a comparison of comprehensibility between a text representing a task hierarchy and its graphical representation. To ensure the quality of the textual representation, the text was generated in Controlled Turkish. Similarly the quality of the graphical representation was ensured by conducting a preliminary experiment. The results of this study have shown that although texts are given in Controlled Turkish, graphical representations are still better for ease of comprehension.


An Analysis on the Effect of Skip Connections in Fully Convolutional Networks for License Plate Localization
Uzun, Engin; Akagündüz, Erdem (2019-01-01)
In this study, the effect of the skip connections, which are seen in fully convolutional networks, on object localization is analyzed. For this purpose, a local data set for plate detection is created. Experiments are carried out using this data set. Due to the small size of the image set, data augmentation method is used to overcome the danger of over-fitting. The learning rates of the first layers are frozen for analysis and fine-tuning is applied to only the last layer and deconvolution layers. The resul...
The syntax of relative clauses in Croatian
Gracanın Yüksek, Martına (Walter de Gruyter GmbH, 2013-01-01)
In this paper, I propose that Croatian relative clauses (RCs) introduced by the complementizer to 'what/that' do not form a homogeneous class with respect to their derivation: some are derived by movement, and some are derived by a non-movement strategy. Unless the relativized element is the subject, sto-RCs normally require a resumptive pronoun to appear in the site of relativization. However, this requirement is removed under morphological case matching between the head of the RC and the resumptive pronou...
An investigation of incidental vocabulary acquisition in relation to learner proficiency level and word frequency
Tekmen, E. Anne Ferrell; Daloğlu, Ayşegül (Wiley, 2006-06-01)
This study examined the relationship between learners' incidental vocabulary acquisition and their level of proficiency, and between acquisition and word frequency in a text. Participants were Turkish learners of English at three proficiency levels. One reading text and four vocabulary tests were administered over a two-week period. Analyses of the data revealed that lexical gains from reading were significant for each group (p < .05). The higher proficiency groups were able to acquire more words than lower...
An Algorithmic Metaphysics of Self-Patterns
Benı, Majıd Davoody (Frontiers Media SA, 2020-12-01)
The paper draws on an algorithmic criterion to demonstrate that the self (as initially described in Shaun Gallagher's a pattern theory of self) is a composite, scattered, and patterned object. It also addresses the question of extendedness of the self-pattern. Based on the criteria drawn from algorithmic complexity, I argue that although the self-pattern possesses a genuinely extended aspect (and in this sense, the self-pattern is minimally extended) the self-pattern and its environment do not constitute a ...
3D Correspondence by Breadth First Search Frontiers
Sahillioğlu, Yusuf (null; 2009-06-01)
This paper presents a novel, robust, and fast 3D shape correspondence algorithm applicable to the two snapshots of the same object in arbitrary deformation. Given two such frames as triangle meshes with fixed connectivity, our algorithm first classifies vertices into Breadth-First Search (BFS) frontiers according to their unweighted shortest path distance from a source vertex. This is followed by the rigid or non-rigid alignment of the corresponding frontiers of two meshes as the second and final step. This...
Citation Formats
M. Canpolat Şahin, “A Comparison of comprehensibility between controlled Turkish and graphical representations,” M.S. - Master of Science, Middle East Technical University, 2013.