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A. Suni and Vainio, M., Deep Syntactic Analysis and Rule Based Accentuation in Text-to-Speech Synthesis, in Text, Speech and Dialogue, vol. 5246, P. Sojka, Horák, A., Kopeček, I., and Pala, K. Berlin / Heidelberg: Springer, 2008, pp. 535-542.
P. Sumathi and Prabavathy, K., Interpretation of Knowledge Discovery System on formulation of Gene Disease Relationship., International Journal of Applied Engineering Research, vol. 10, 2015.
S. Stymne, Clustered Word Classes for Preordering in Statistical MachineTranslation, in 13th Conference of the European chapter of the Association for Computational Linguistics (EACL 2012), Avignon, France, 2012.
S. Stymne, Text Harmonization Strategies for Phrase-Based Statistical Machine Translation, Linköping University, The Institute of Technology, Linköping, 2012.
S. Stymne, Iterative reordering and word alignment for statistical MT, in 18th Nordic Conference on Computational Linguistics, Riga, Latvia, 2011.
M. Stührenberg, Beißwenger, M., Kühnberger, K. - U., Lüngen, H., Mehler, A., Metzing, D., and Mönnich, U., Sustainability of Text-Technological Resources, in 6th International Conference on Language Resources and Evaluation (LREC 2008), 2008.
R. Stuckardt, Design and enhanced evaluation of a robust anaphor resolution algorithm, Computational Linguistics, vol. 27, no. 4, pp. 479–506, 2001.
T. Strzalkowski, Perez-Carballo, J., Karlgren, J., Tapanainen, P., and Lahtinen, T., Natural Language Information Retrieval: TREC-8 Report, 1999.
M. Stevenson and Greenwood, M. A., Comparing Information Extraction Pattern Models, in Information Extraction Beyond The Document Workshop (COLING/ACL 2006), 2006.
C. Stein, Etzkorn, L., and Utley, D., Computing software metrics from design documents, in 42nd annual Southeast regional conference, Huntsville, Alabama, 2004, pp. 146–151.
M. Stede, Connective-based local coherence analysis: a lexicon for recognizing causal relationships, in Conference on Semantics in Text Processing (STEP'08), Venice, Italy, 2008, pp. 221–237.
M. Stede and Bieler, H., The MOTS Workbench, in Modeling, Learning, and Processing of Text Technological Data Structures, vol. 370, A. Mehler, Kühnberger, K. - U., Lobin, H., Lüngen, H., Storrer, A., and Witt, A. Berlin / Heidelberg: Springer , 2012, pp. 15-34.
J. Stasko, Görg, C., and Liu, Z., Jigsaw: supporting investigative analysis, in Information Visualization, Palgrave Macmillan, 2008.
Š
S. Štajner, Evans, R., Orăsan, C., and Mitkov, R., What Can Readability Measures Really Tell Us About Text Complexity?, in Natural Language Processing for Improving Textual Accessibility (NLP4ITA), Istanbul, Turkey, 2012.
S. Štajner, Drndarević, B., and Saggion, H., Corpus-based Sentence Deletion and Split Decisions for Spanish Text Simplification, Computacíon y Sistemas, vol. 17, no. 2, pp. 251-262, 2013.
S. Štajner, New Data-Driven Approaches to Text Simplification, University of Wolverhampton, Wolverhampton, 2015.
S. Štajner and Saggion, H., Adapting Text Simpli cation Decisions to Di fferent Text Genres and Target Users, Procesamiento del Lenguaje Natural, no. 51, pp. 135-142, 2013.
S. Štajner and Mitkov, R., Using Comparable Corpora to Track Diachronic and Synchronic Changes in Lexical Density and Lexical Richness, in The 5th Workshop on Building and Using Comparable Corpora, Istanbul, Turkey, 2012.
S. Štajner and Evans, R., Can Statistical Tests Be Used for Feature Selection in Diachronic Text Classification?, in Statistical Language and Speech Processing, vol. 7978, A. - H. Dediu, Martín-Vide, C., Mitkov, R., and Truthe, B. Berlin / Heidelberg: Springer, 2013, pp. 273-283.
S. Štajner and Saggion, H., Readability Indices for Automatic Evaluation of Text Simplification Systems: A Feasibility Study for Spanish, in International Joint Conference on Natural Language Processing, Nagoya, Japan, 2013.
S. Štajner, Mitkov, R., and Corpas Pastor, G., Simple or Not Simple? A Readability Question, in Language Production, Cognition, and the Lexicon, vol. 48, N. Gala, Rapp, R., and Bel-Enguix, G. Springer International Publishing, 2015, pp. 379-398.
S. Štajner, Mitkov, R., and Leech, G., Natural Language Processing methodology for tracking diachronic changes in the 20th century English language, Journal of Research Design and Statistics in Linguistics and Communication Science, vol. 1, no. 1, 2014.
S. Štajner, Towards a Better Exploitation of the Brown 'Family'Corpora in Diachronic Studies of British and American English Language Varieties, in Student Research Workshop associated with The 8th International Conference on Recent Advances in Natural Language Processing (RANLP 2011), Hissar, Bulgaria, 2011.
S. Štajner and Mitkov, R., Diachronic Changes in Text Complexity in 20th Century English Language: An NLP Approach, in Eight International Conference on Language Resources and Evaluation (LREC'12), Istanbul, Turkey, 2012.
S. Štajner and Mitkov, R., Diachronic Changes in Text Complexity in 20th Century English Language: An NLP Approach, in The eighth international conference on Language Resources and Evaluation (LREC), Istanbul, Turkey, 2012.

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