29 citations · 198 across the 26 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…
Improving the Quality of MT Output using Novel Name Entity Translation Scheme
Deepti Bhalla, Nisheeth Joshi, Iti Mathur
This paper presents a novel approach to machine translation by combining the state of art name entity translation scheme. Improper translation of name entities lapse the quality of…
Analysing Quality of English-Hindi Machine Translation Engine Outputs Using Bayesian Classification
Rashmi Gupta, Nisheeth Joshi, Iti Mathur
This paper considers the problem for estimating the quality of machine translation outputs which are independent of human intervention and are generally addressed using machine lea…
Human and Automatic Evaluation of English-Hindi Machine Translation
Nisheeth Joshi, Hemant Darbari, Iti Mathur
For the past 60 years, Research in machine translation is going on. For the development in this field, a lot of new techniques are being developed each day. As a result, we have wi…
Rule Based Transliteration Scheme for English to Punjabi
Deepti Bhalla, Nisheeth Joshi, Iti Mathur
Machine Transliteration has come out to be an emerging and a very important research area in the field of machine translation. Transliteration basically aims to preserve the phonol…
Part of Speech Tagging of Marathi Text Using Trigram Method
Jyoti Singh, Nisheeth Joshi, Iti Mathur
In this paper we present a Marathi part of speech tagger. It is a morphologically rich language. It is spoken by the native people of Maharashtra. The general approach used for dev…
Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration
Juhi Ameta, Nisheeth Joshi, Iti Mathur
Machine Translation for Indian languages is an emerging research area. Transliteration is one such module that we design while designing a translation system. Transliteration means…
Development of a Hindi Lemmatizer
Snigdha Paul, Nisheeth Joshi, Iti Mathur
We live in a translingual society, in order to communicate with people from different parts of the world we need to have an expertise in their respective languages. Learning all th…