Authors : P. Sujatha and P. Dhavachelvan
Abstract: Information retrieval plays a vital role in extraction of relevant information. Many researches have been working on for satisfying user needs, tough the problem arises when accessing multilingual information. This multilingual environment provides a platform where a query can be formed in one language and the result can be in the same language and/or different languages. Performance evaluation of information retrieval for monolingual environments, especially for English are developed and standardized from its inception. There is no specialized evaluation model available for evaluating the performance of multilingual environments or systems. The unavailability of MLIR domain specific standards is a challenging task. This study presented enhanced metric to assess the performance of MLIR Systems over its counterpart IR metric. This analysis shows that the performance of the enhanced metric is better than the conventional metric. And also, these metric can facilitate the researchers and developers to improve the quality of the MLIR Systems in the present and future scenarios.
P. Sujatha and P. Dhavachelvan, 2014. A Metric to Assess the Performance of MLIR Systems. Asian Journal of Information Technology, 13: 346-355.