Performance Assessment of AMRR and ADCG Metrics in MLIR and IR Systems

Multiple language documents retrieval is being done by using Multilingual Information Retrieval (MLIR) system. MLIR system deals with the use of queries in one language and retrieves the documents in various languages. The Query translation plays a central role in MLIR system research. We have used...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of computer applications 2011-01, Vol.24 (2), p.43-48
Hauptverfasser: Korra, Raju, Sujatha, Pothula, Dhavachelvan, P, Kumar, Madarapu Naresh, Chetana, Sidige
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Multiple language documents retrieval is being done by using Multilingual Information Retrieval (MLIR) system. MLIR system deals with the use of queries in one language and retrieves the documents in various languages. The Query translation plays a central role in MLIR system research. We have used English as the source language and Hindi, French and German as the target languages. The experimental results are evaluated to analyze and compare the performance of proposed MLIR system metrics, Average Mean Reciprocal Rank (AMRR) and Average Discounted Cumulative Gain (ADCG), in Information Retrieval (IR) and MLIR system. Experimental results show that the performance of AMRR, ADCG in MLIR system has been improved 81.67%, 43.93% over IR system respectively.
ISSN:0975-8887
0975-8887
DOI:10.5120/2919-3851