TY  - JOUR
T1  - A Metric to Assess the Performance of MLIR Systems
AU - Sujatha, P. AU - Dhavachelvan, P. 
JO  - Asian Journal of Information Technology
VL  - 13
IS  - 6
SP  - 346
EP  - 355
PY  - 2014
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2014.346.355
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2014.346.355
KW  - Performance
KW  -metric
KW  -property
KW  -translation
KW  -protocol
AB  - 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.
ER  -