Abstract
In an era that, searching the WWW for information becomes a tedious task, it is obvious that mainly search engines and other data mining mechanisms need to be enhanced with characteristics such as NLP in order to better analyze and recognize user queries and fetch data. We present an efficient mechanism for stemming and tagging for the Greek language. Our system is constructed in such a way that can be easily adapted to any existing system and support it with recognition and analysis of Greek words. We examine the accuracy of the system and its ability to support peRSSonal a medium constructed for offering meta-portal news services to internet users. We present experimental evaluation of the system compared to already existing stemmers and taggers of the Greek language and we prove the higher efficiency and quality of results of our system.
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References
Lovins, J.B.: Development of a stemming algorithm. Mechanical Translation and Computational Linguistics 11, 22–31 (1968)
Porter, M.F.: An algorithm for suffix stripping. Program; automated library and information systems 14(3), 130–137 (1980)
Paice, D.: Another stemmer. ACM SIGIR Forum 24(3), 56–61 (1990)
Kalamboukis, T.Z.: Suffix stripping with modern Greek. Program 29(3), 313–321 (1995)
Tambouratzis, G., Carayannis, C.: Automatic corpora-based stemming in Greek. Literacy and Linguistic Computing 16, 445–466 (2001)
Ntais, G.: Development of a stemmer for the Greek language, MSc Thesis, Stockholm University (2006)
Saroukos, S.: Enhancing a Greek Language Stemmer, MSc Thesis, University of Tampere (2008)
Triantafillidis, M.: Modern Greek Grammar (Dimotiki) (in Greek). Reprint with corrections 1978. Institute of Modern Greek Studies, Thessaloniki (1941)
Frakes, W.B., Fox, C.J.: Strength and similarity of affix removal stemming algorithms. SIGIR Forum 37(1), 26–30 (2003)
Bouras, C., Poulopoulos, V., Tsogkas, V.: PeRSSonal’s core functionality evaluation: Enhancing text labeling through personalized summaries. Data and Knowledge Engineering Journal 64(1), 330–345 (2008)
Papadakos, P., Vasiliadis, G., Theoharis, Y., Armenatzoglou, N., Kopidaki, S., Marketakis, Y., Daskalakis, M., Karamaroudis, K., Linardakis, G., Makrydakis, G., Papathanasiou, V., Sardis, L., Tsialiamanis, P., Troullinou, G., Vandikas, K., Velegrakis, D., Tzitzikas, Y.: The Anatomy of Mitos Web Search Engine. CoRR, Information Retrieval, abs/0803.2220. CoRR Technical Report (March 2008)
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Adam, G., Asimakis, K., Bouras, C., Poulopoulos, V. (2010). An Efficient Mechanism for Stemming and Tagging: The Case of Greek Language. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15393-8_44
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DOI: https://doi.org/10.1007/978-3-642-15393-8_44
Publisher Name: Springer, Berlin, Heidelberg
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