29 citations · 173 across the 19 of their papers we have counts for
13 papers · 2 filters
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…
Rule Based Stemmer in Urdu
Vaishali Gupta, Nisheeth Joshi, Iti Mathur
Urdu is a combination of several languages like Arabic, Hindi, English, Turkish, Sanskrit etc. It has a complex and rich morphology. This is the reason why not much work has been d…
Subjective and Objective Evaluation of English to Urdu Machine Translation
Vaishali Gupta, Nisheeth Joshi, Iti Mathur
Machine translation is research based area where evaluation is very important phenomenon for checking the quality of MT output. The work is based on the evaluation of English to Ur…