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

机译:信息检索(IR)系统上的多语言信息检索(MLIR)系统的性能评估

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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 (APIR) and Mean Average Precision (MAPIR) metrics of IR system with esteem to the Average Precision (APMLIR) and Mean Average Precision (MAPMLIR) metrics in MLIR system. Experimental result shows that the effective retrieval and performance of MLIR system has improved by 31.4% over IR system.
机译:多语言信息检索(MLIR)系统处理一种语言的查询,并以多种语言检索文档。在这里,查询翻译在MLIR研究中起着核心作用。在本文中,使用与语言无关的索引技术来处理英语,泰卢固语和北印度语的文本集合。我们使用了基于多语言词典的逐词查询翻译。对实验结果进行了评估,以分析和比较受尊重的红外系统的平均精度(AP IR )和平均平均精度(MAP IR )指标的性能。 (AP MLIR )和平均平均精度(MAP MLIR )指标。实验结果表明,MLIR系统的有效检索和性能比IR系统提高了31.4%。

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