Machine Learning in Terminology Extraction from Czech and English Texts

Bečka, J. V., 1972. The lexical composition of specialized texts and its quantitative aspect. Prague Studies in Mathematical Linguistics, 4, 47—64.Search in Google Scholar

Čermák, F. (2010). Lexikon a sémantika. Praha: NLN.Search in Google Scholar

Křen, M. et al., 2010. SYN2010: žánrově vyvážený korpus psané češtiny. Institute of the Czech National Corpus, Charles University, Prague, available at: < http://www.korpus.cz >.Search in Google Scholar

Chung, T. M., 2003. A corpus comparison approach for terminology extraction. Terminology, 9(2), 221—246.10.1075/term.9.2.05chuSearch in Google Scholar

Cvrček, V., 2013, Kvantitativní analýza kontextu. Praha: NLN/ÚČNK.Search in Google Scholar

Frantzi, K. T., Ananiadou, S., 1999. The C/NC value domain independent method for multi-word term extraction. Journal of Natural Language Processing, 3(2), 115—127.10.5715/jnlp.6.3_145Search in Google Scholar

Gamper, H., Stock, O., 1998/1999. Corpus-based terminology. Terminology, 5(2), 147—159.10.1075/term.5.2.05gamSearch in Google Scholar

Hall, M. et al., 2009. The WEKA Data Mining Software: An Update. SIGKDD Explorations 11(1), 10—18.10.1145/1656274.1656278Search in Google Scholar

Heid, U., 1998/1999. A linguistic bootstrapping approach to the extraction of term candidates from German text. Terminology, 5(2), 161—181.10.1075/term.5.2.06heiSearch in Google Scholar

Kageura, K., Umino, B., 1996. Methods of automatic term recognition: A review. Terminology, 3(2), 259—289.10.1075/term.3.2.03kagSearch in Google Scholar

Kit, C., Liu, X., 2008. Measuring mono-word termhood by rank difference via corpus comparison. Terminology, 14(2), 204—229.10.1075/term.14.2.05kitSearch in Google Scholar

Kováříková, D., 2017. Kvantitativní charakteristiky termínů. Praha: NLN/ÚČNK.Search in Google Scholar

L’Homme, M., Heid, U., Sager, J. C., 2003. Terminology during the past decade (1994-2004): An editorial statement. Terminology, 9(2),151—161.10.1075/term.9.2.02homSearch in Google Scholar

Lauriston, A., 1995. Criteria for measuring term recognition. In: EACL ’95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics. San Francisco: Morgan Kaufmann Publishers.10.3115/976973.976977Search in Google Scholar

Lossio-Ventura, J. A. et al., 2014. Biomedical Terminology Extraction: A new combination of Statistical and Web Mining Approaches. JADT’2014: Journées internationales d’Analyse statistique des Données Textuelle, 421—432.Search in Google Scholar

Manning, C. D., Schütze, H., 2000. Foundations of Statistical Natural Language Processing. Cambridge/ London: The MIT Press.Search in Google Scholar

Nazar, R., 2016. Distributional analysis applied to terminology extraction. Terminology, 22(2), 141—170.10.1075/term.22.2.01nazSearch in Google Scholar

Savický, P., Hlaváčová, J., 2003. Measures of word commonness. Journal of Quantitative Linguistics, 9(3), 215—231.10.1076/jqul.9.3.215.14124Search in Google Scholar

Šrajerová, D., Kovářík, O., Cvrček, V., 2009. Automatic term recognition based on data-mining techniques. Proceedings of Computer Science and Information Engineering—CSIE. Los Angeles.10.1109/CSIE.2009.935Search in Google Scholar

Ville-Ometz, F., Royauté, J., Zasadzinski, A., 2007. Enhancing in automatic recognition and extraction of term variants with linguistic features. Terminology, 13(1), 35—59.10.1075/term.13.1.03vilSearch in Google Scholar

Wermter, J., Hahn, U., 2005. Finding new terminology in very large corpora. In: Proceedings of the 3rd International Conference on Knowledge Capture (KCAP 2005), 137—144.10.1145/1088622.1088648Search in Google Scholar