Analytical study of text retrieval engines: Application of mgpp and zebra in managing bengali SCRIPT

The research paper represents the comparative study between two open source Text Retrieval Engines (TRE) to use metadata indexing, searching and retrieval. It has been shown in which way or process the search engines at the time of searching and retrieval cater the user with feedback in the Indic script other than English. India is a multilingual country and not lingua franca. Here, English is considered to be the first language to a very few people. As such, the database in any regional language would be of immense help to the library users. In this research, Bengali; a constitutionally recognized language has been used in lieu of English. For this comparison here used to multilingual TREs; namely, MGPP and Zebra in order to build up the database. Experiments have been conducted on the basis some selected measuring parameters to make a comparative study between two TREs. The study shows, there is no technical fault for not using English. In both the languages (i.e.: English and Bengali) the accuracy is the same. Altogether, 11 parameters have been used among which the major part (63.64%) is found to be applicable in both TREs, rest are applicable either MGPP or Zebra. On the basis of the score, it cannot be assured which is the best. As if, different open sources library automation software, digital library software uses different TREs depending on their technical specification/compatibility. Obviously, it is not the purpose of this study, to differentiate any particular TRE. Instead,