Evaluation and Ranking of Machine Translated Output in Hindi Language using Precision and Recall Oriented Metrics
This work addresses the problem of evaluating machine translation systems for Hindi, an incremental contribution to language-specific MT assessment.
The study evaluated machine translation output in Hindi using precision and recall metrics, finding that these metrics are effective for assessing translation quality in free word order languages like Hindi.
Evaluation plays a crucial role in development of Machine translation systems. In order to judge the quality of an existing MT system i.e. if the translated output is of human translation quality or not, various automatic metrics exist. We here present the implementation results of different metrics when used on Hindi language along with their comparisons, illustrating how effective are these metrics on languages like Hindi (free word order language).