01450nas a2200157   4500008004100000245008000041210006900121260002100190300001500211520085700226100002101083700002601104700001701130700002701147856011801174       2010                        eng d00aAn Efficient Mechanism for Stemming and Tagging: the Case of Greek Language0 aEfficient Mechanism for Stemming and Tagging the Case of Greek L  c8 - 10 September  a 389 - 3973 aIn 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.1 aBouras, Christos1 aPoulopoulos, Vassilis1 aAdam, George1 aAsimakis, Konstantinos  uhttp://telematics.upatras.gr/telematics/publications/efficient-mechanism-stemming-and-tagging-case-greek-language