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References 1. Deerwester, S., S. T. Dumais, G. W. Furnas, T.K. Landauer, R. Harshman.Indexing by Latent Semantic Analysis. - Journal of the American Society for Information Science, Vol. 41, 1990, 391-407. 2. Fellbaum, C. WordNet. An Electronic Lexical Database. Cambridge, MA, MIT Press, 1998. 3. Gliozzo, A., C. Strapparava . Semantic Domains in Computational Linguistics. Springer, 2009. 4. Larsen, B., C. Aone. Fast and Effective Text Mining Using Linear-Time Document Clustering. - In: Proc. of 5th ACM SIGKDD International Conference on Knowledge Discovery and

References Aggarwal, C.C. and Zhai, C.-X. (Eds.) (2012). Mining Text Data, Springer, New York, NY. Aswani Kumar, C. and Srinivas, S. (2006). Latent semantic indexing using eigenvalue analysis for efficient information retrieval, International Journal of Applied Mathematics and Computer Science 16(4): 551-558. Bayes, T. (1763). An essay towards solving a problem in the doctrine of chances, Philosophical Transactions of the Royal Society of London 53: 370-418. Bilski, A. and Wojciechowski, J. (2016). Automatic parametric fault detection in complex analog systems

REFERENCES [1] Busta M., Matas J., Neumann L., Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework , IEEE, International Conference on Computer Vision, 22–29 October, Venice, Italy, 2017, pp. 2223–2231. [2] Busta M., Matas J., Neumann L., FASText: Efficient Unconstrained Scene Text Detector , IEEE, International Conference on Computer Vision, 13–16 December, Santiago, Chile, 2015, pp. 1206–1214. [3] Cho H., Sung M., Jun B., Canny Text Detector: Fast and Robust Scene Text Localization Algorithm , IEEE, Conference on

References [1] LIKFORMAN SULEM, L.-ZAHOUR, A.-TACONET, B. : Text Line Segmentation of Historical Documents: a Survey, International Journal on Document Analysis and Recognition 9 No. 2 (2007), 123-138. [2] RAZAK, Z.-ZULKIFLEE, K.et al : Off-Line Handwriting Text-Line Segmentation: a Review, International Journal of Computer Science and Network Security 8 No. 7 (2008), 12-20. [3] LI, Y.-ZHENG, Y.-DOERMANN, D.-JAEGER, S. : A New Algorithm for Detecting Text Line in Handwritten Documents, In: 10th International Workshop on Frontiers in Handwriting Recognition 2006

References [1] Chou, W., and Juang, B. H. (Eds.). (2003). Pattern recognition in speech and language processing. CRC Press. [2] Zlacký, D., Staš, J., Juhár, J., and Čižmár, A. (2014). Text categorization with latent Dirichlet allocation. Journal of electrical and electronics engineering 7(1), pages 161–164. [3] Haddoud, M., Mokhtari, A., Lecroq, T., and Abdeddaïm, S. (2016). Combining supervised term-weighting metrics for SVM text classification with extended term representation. Knowledge and Information Systems, 49(3), pages 909–931. [4] Lai, S., Xu, L., Liu, K

References 1. Antonellis, I., Bouras, C., Poulopoulos, V. (2006), “Personalized news categorization through scalable text classification”, in Zhou, X., Li, J., Shen, H. T., Kitsuregawa, M., Zhang, Y. (Eds.) Frontiers of WWW Research and Development – APWeb 2006, Springer, Berlin, Heidelberg, pp. 391-401. 2. Bojanowski, P., Grave, E., Joulin, A., Mikolov, T. (2017), “Enriching word vectors with subword information”, Transactions of the Association of Computational Linguistics, Vol. 5, pp.135-146. 3. Chaudhari, S. V., Lade, S. (2013), “Classification of News and

References AMIN, A.—WU, S.: Robust Skew Detection in Mixed Text/Graphics Documents, Proceedings of 8th ICDAR '05, Seoul, Korea, vol. 1, 2005, pp. 247-251. MANMATHA, R.—SRIMAL, N.: Scale Space Technique for Word Segmentation in Handwritten Manuscripts, Proceedings of 2nd International Conference on Scale Space Theories in Computer Vision, 1999, pp. 22-33. O'GORMAN, L.: The Document Spectrum for Page Layout Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence 15 No. 11 (1993), 1162-1173. LOULOUDIS, G.—GATOS, B.—PRATIKAKIS, I.—HALATSIS, C

Introduction Important questions that have yet to be fully addressed in scholarship regarding the aftermath of the communist era in Central Europe include how long the so-called ‘post-communist’ period will last and what—if anything—will mark is conclusion ( Czepczyński 2008 )? Some of the most visible aspects of the post-communist period are elements of what Maoz Azaryahu (1990) originally called ‘city text’. Today the concept of city text has been expanded to include not only commemorative street names or toponyms , but also monuments as well as other

References Du, X., Pan, W., Bui, T.D. (2009). Text line segmentation in handwritten documents using Mumford-Shah model. Pattern Recognition , 42 (12), 3136-3145. Likforman Sulem, L., Zahour, A., Taconet, B. (2007). Text line segmentation of historical documents: a survey. International Journal on Document Analysis and Recognition , 9 (2), 123-138. Amin, A., Wu, S. (2005). Robust skew detection in mixed text/graphics documents. In Proceedings of International Conference on Document Analysis and Recognition - ICDAR'05 . Seoul, Korea, 247-251. Bukhari, S

R eferences [1] M. Potthast, M. Hagen, A. Beyer, M. Busse, M. Tippmann, P. Rosso, and B. Stein, “Overview of the 6th International Competition on Plagiarism Detection,” in CEUR Workshop Proceedings , vol. 1180, 2014, pp. 845–876. [2] D. T. Citron and P. Ginsparg, “Patterns of text reuse in a scientific corpus,” in Proceedings of the National Academy of Sciences , Jan 2015, 112, no. 1, pp. 25–30. https://doi.org/10.1073/pnas.1415135111 [3] Y. Sun, J. Qin, and W. Wang, “Near Duplicate Text Detection Using Frequency-Biased Signatures,” in Web Information Systems