29 citations · 173 across the 19 of their papers we have counts for
23 papers
Classifier-Based Text Simplification for Improved Machine Translation
Shruti Tyagi, Deepti Chopra, Iti Mathur +1
Machine Translation is one of the research fields of Computational Linguistics. The objective of many MT Researchers is to develop an MT System that produce good quality and high a…
Quality Estimation Of Machine Translation Outputs Through Stemming
Pooja Gupta, Nisheeth Joshi, Iti Mathur
Machine Translation is the challenging problem for Indian languages. Every day we can see some machine translators being developed, but getting a high quality automatic translation…
Shiva++: An Enhanced Graph based Ontology Matcher
Iti Mathur, Nisheeth Joshi, Hemant Darbari +1
With the web getting bigger and assimilating knowledge about different concepts and domains, it is becoming very difficult for simple database driven applications to capture the da…
Shiva: A Framework for Graph Based Ontology Matching
Iti Mathur, Nisheeth Joshi, Hemant Darbari +1
Since long, corporations are looking for knowledge sources which can provide structured description of data and can focus on meaning and shared understanding. Structures which can…
Quality Estimation of English-Hindi Outputs using Naive Bayes Classifier
Rashmi Gupta, Nisheeth Joshi, Iti Mathur
In this paper we present an approach for estimating the quality of machine translation system. There are various methods for estimating the quality of output sentences, but in this…
Automatic Ranking of MT Outputs using Approximations
Pooja Gupta, Nisheeth Joshi, Iti Mathur
Since long, research on machine translation has been ongoing. Still, we do not get good translations from MT engines so developed. Manual ranking of these outputs tends to be very…