Evaluating NIST Metric for English to Hindi Language Using ManTra Machine
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 8
Abstract
Evaluation of MT is required for Indian languages because the same MT is not works in Indian language as in European languages due to the language structure. So, there is a great need to develop appropriate evaluation metric for the Indian language MT. The present research work aims at studying the Evaluation of Machine Translation Evaluation’s NIST metric for English to Hindi for tourism domain using the output of ManTra, a translation system. Machine Translation Evaluation has been widely recognized by the Machine Translation community. The main objective of MT is to break the language barrier in a multilingual nation like India.
Authors and Affiliations
Neeraj Tomer1 , Deepa Sinha
Keywords
Related Articles
- EP ID EP109720
- DOI -
- Views 70
- Downloads 0
Radix -4/-8 Dual Encoder Block for Multiplier Architecture using GDI Technique
A hybrid radix-4/-8 multiplier is proposed for portable multimedia applications that demand high speed and low energy operation. Depending on the input pattern, the multiplier operates in the radix-8 mode in 56% of...
RSA algorithm realization on FPGA
The RSA algorithm is a secure, high quality, public key algorithm..The paper presents the architecture and modeling of RSA public key encryption/decryption systems. It is been observed that it is difficult to implement R...
A modified Clustering algorithm based on Optimization method.
This study presents an effective optimization technique such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PCO) and Fuzzy C-Means (FCM) for clustering the dataset. This technique is tested on sever...
Low and mid-level features for target detection in satellite images
Reliably detecting objects in broadarea overhead or satellite images has become an increasingly pressing need, as the capabilities for image acquisition are growing rapidly. The problem is particularly difficult in...
Evaluating QOSMOS Using Markov Decision Process Model
Service discovery has been recognized as an important aspect in the development of service centric systems, i.e., software systems which deploy web services. To develop such systems, it is necessary to identify ser...