Software Metric Framework for Multilingual Information Retrieval (MLIR) System Performance Assessment
Multilingual Information Retrieval (MLIR) System deals with the use of queries in one language and retrieves the documents in various languages. Here the Query translation plays a central role in MLIR research. In this paper English as the source language and Hindi, French and German as the target languages. We have used multilingual dictionary based word by word query translation. The experimental results are evaluated to analyse and compare the performance of proposed MLIR system metrics, Average Precision (APIR) Mean Average Precision (MAPIR) Average Mean Reciprocal Rank (AMRR) and Average Discounted Cumulative Gain (ADCG) metrics of IR system with esteem to the Average Precision (APMLIR) Mean Average Precision (MAPMLIR),Average Mean Reciprocal Rank (AMRR) and Average Discounted Cumulative Gain (ADCG) metrics in MLIR system. Experimental result shows that the effective retrieval and performance ofMAP has improved by 31.4% and and the performance of AMRR, ADCG in MLIR system has been improved 81.67% 43.93% over IR system respectively.