no code implementations • NAACL (SMM4H) 2021 • Atul Kr. Ojha, Priya Rani, Koustava Goswami, Bharathi Raja Chakravarthi, John P. McCrae
Social media platforms such as Twitter and Facebook have been utilised for various research studies, from the cohort-level discussion to community-driven approaches to address the challenges in utilizing social media data for health, clinical and biomedical information.
no code implementations • WMT (EMNLP) 2020 • Atul Kr. Ojha, Priya Rani, Akanksha Bansal, Bharathi Raja Chakravarthi, Ritesh Kumar, John P. McCrae
NUIG-Panlingua-KMI submission to WMT 2020 seeks to push the state-of-the-art in Similar Language Translation Task for Hindi↔Marathi language pair.
no code implementations • LREC 2022 • Priya Rani, John P. McCrae, Theodorus Fransen
This data-set is the first Magahi-Hindi-English code-mixed data-set for similar language identification task.
no code implementations • 7 Mar 2024 • Priya Rani, Gaurav Negi, Theodorus Fransen, John P. McCrae
The present paper introduces new sentiment data, MaCMS, for Magahi-Hindi-English (MHE) code-mixed language, where Magahi is a less-resourced minority language.
no code implementations • 12 Jan 2024 • Hala Abdelkader, Mohamed Abdelrazek, Scott Barnett, Jean-Guy Schneider, Priya Rani, Rajesh Vasa
In this paper, we introduce ML-On-Rails, a protocol designed to safeguard ML models, establish a well-defined endpoint interface for different ML tasks, and clear communication between ML providers and ML consumers (software engineers).
no code implementations • 14 Nov 2023 • Irini Logothetis, Priya Rani, Shangeetha Sivasothy, Rajesh Vasa, Kon Mouzakis
Our model provides guidance to healthcare researchers and aged care industries to set up smart homes based on the needs of elderly, by defining a set of goals at different levels mapped to a different set of features.
1 code implementation • 9 Nov 2023 • Koustava Goswami, Priya Rani, Theodorus Fransen, John P. McCrae
We train an encoder to gain morphological knowledge of a language and transfer the knowledge to perform unsupervised and weakly-supervised cognate detection tasks with and without the pivot language for the closely-related languages.
no code implementations • 4 Aug 2020 • Bharathi Raja Chakravarthi, Priya Rani, Mihael Arcan, John P. McCrae
It introduces under-resourced languages in terms of machine translation and how orthographic information can be utilised to improve machine translation.
no code implementations • SEMEVAL 2020 • Koustava Goswami, Priya Rani, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae
Code mixing is a common phenomena in multilingual societies where people switch from one language to another for various reasons.
no code implementations • LREC 2020 • Priya Rani, Shardul Suryawanshi, Koustava Goswami, Bharathi Raja Chakravarthi, Theodorus Fransen, John Philip McCrae
Hate speech detection in social media communication has become one of the primary concerns to avoid conflicts and curb undesired activities.
no code implementations • WS 2019 • Atul Kr. Ojha, Ritesh Kumar, Akanksha Bansal, Priya Rani
The present paper enumerates the development of Panlingua-KMI Machine Translation (MT) systems for Hindi ↔ Nepali language pair, designed as part of the Similar Language Translation Task at the WMT 2019 Shared Task.
no code implementations • SEMEVAL 2019 • Priya Rani, Atul Kr. Ojha
In this paper, we present the system description of Offensive language detection tool which is developed by the KMI{\_}Coling under the OffensEval Shared task.
no code implementations • 13 Apr 2018 • Priya Rani, Atul Kr. Ojha, Girish Nath Jha
Language identification has become a prerequisite for all kinds of automated text processing systems.