32 citations · 35 across the 5 of their papers we have counts for
5 papers
MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis
Priya Rani, Gaurav Negi, Theodorus Fransen +1
The present paper introduces new sentiment data, MaCMS, for Magahi-Hindi-English (MHE) code-mixed language, where Magahi is a less-resourced minority language. This dataset is the…
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages
Koustava Goswami, Priya Rani, Theodorus Fransen +1
Exploiting cognates for transfer learning in under-resourced languages is an exciting opportunity for language understanding tasks, including unsupervised machine translation, name…
A Survey of Orthographic Information in Machine Translation
Bharathi Raja Chakravarthi, Priya Rani, Mihael Arcan +1
Machine translation is one of the applications of natural language processing which has been explored in different languages. Recently researchers started paying attention towards…
ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text
Koustava Goswami, Priya Rani, Bharathi Raja Chakravarthi +2
Code mixing is a common phenomena in multilingual societies where people switch from one language to another for various reasons. Recent advances in public communication over diffe…
Automatic Language Identification System for Hindi and Magahi
Priya Rani, Atul Kr. Ojha, Girish Nath Jha
Language identification has become a prerequisite for all kinds of automated text processing systems. In this paper, we present a rule-based language identifier tool for two closel…