Development of a Stemmer for the Greek Language - SAIS

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Abstract In this thesis work, a stemming system for the Greek language is presented. This system takes as input a word and removes its inflexional suffix according to a rule based algorithm. The algorithm follows the known Porter algorithm for the English language and it is developed according to the grammatical rules of the Greek language, as they are described in Triantafyllidis grammar (1941) for the Modern Greek language. An extended documentation of the removal process as well as a short evaluation of the system is showing the algorithm accuracy that works with better performance than other past stemming algorithms for the Greek language giving 92.1 percent correct results. Finally, possible extensions of the proposed system and further evaluation methods are briefly reviewed. I
Acknowledgements I would like to thank my family for their support and encouragement in my studies abroad. I would also like to thank my supervisor and mentor Dr. Hercules Dalianis for his interest and enthusiasm about this thesis work. Finally I will not forget all my supportive friends, who shared their moments with me, during my master studies in Sweden. II
Page 1: Georgios Ntais Development of a Ste
Page 5 and 6: 4.2 The Results....................
Page 7 and 8: 1. Introduction Nowadays many tools
Page 9 and 10: The above stemmers and their algori
Page 11 and 12: A parallel corpus stemmer is langua
Page 13 and 14: Figure 3: “TZK algorithm” overv
Page 15 and 16: This system will help the users to
Page 17 and 18: 2. The Greek Language 2.1 History o
Page 19 and 20: Root word is a word that can not cr
Page 21 and 22: 2.5 Stem in Greek words As we menti
Page 23 and 24: do not have to deal with the diacri
Page 25 and 26: Of course there are suffixes which
Page 27 and 28: Example: ΥΠΟΘΕΣΗ ΥΠΟΘΕ
Page 29 and 30: Rule-set 8 if (word ends on ΑΓΑ
Page 31 and 32: The rule removes the suffix ΟΜΑ
Page 33 and 34: The rule doesn’t affect one group
Page 35 and 36: The rule doesn’t affect one group
Page 37 and 38: Figure 7: Captured and non-captured
Page 39 and 40: 4. Evaluation 4.1 The Method In ord
Page 41 and 42: 5. Conclusions and Future Work 5.1
Page 43 and 44: References Al-Sughaiyer I. and Al-K
Page 45 and 46: APPENDIX A: Evaluation Results Word

Development of a Stemmer for the Greek Language - SAIS

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