Performance evaluation of Multilingual Information Retrieval (MLIR) system over Information Retrieval (IR) system

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, the language-independent indexing technology is used to process the text c...

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Bibliographic Details
Main Authors: Korra, R., Sujatha, P., Chetana, S., Naresh Kumar, M.
Format: Conference Proceeding
Language:English
Subjects:
Average Precision
Database languages
Dictionaries
Engines
Mean Average Precision
MLIR
Performance evaluation
Precision
Probabilistic logic
Query translation
Recall
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Summary: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, the language-independent indexing technology is used to process the text collections of English, Telugu and Hindi languages. We have used multilingual dictionary based word-by-word query translation. The experimental results are evaluated to analyze and compare the performance of Average Precision (AP IR ) and Mean Average Precision (MAP IR ) metrics of IR system with esteem to the Average Precision (AP MLIR ) and Mean Average Precision (MAP MLIR ) metrics in MLIR system. Experimental result shows that the effective retrieval and performance of MLIR system has improved by 31.4% over IR system.
DOI:10.1109/ICRTIT.2011.5972453