29 citations · 173 across the 19 of their papers we have counts for
19 papers · 1 filter
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…
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…
HEVAL: Yet Another Human Evaluation Metric
Nisheeth Joshi, Iti Mathur, Hemant Darbari +1
Machine translation evaluation is a very important activity in machine translation development. Automatic evaluation metrics proposed in literature are inadequate as they require o…
Development of Marathi Part of Speech Tagger Using Statistical Approach
Jyoti Singh, Nisheeth Joshi, Iti Mathur
Part-of-speech (POS) tagging is a process of assigning the words in a text corresponding to a particular part of speech. A fundamental version of POS tagging is the identification…