Search Results for author: Bornini Lahiri

Found 9 papers, 0 papers with code

ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Task at ICON-2021

no code implementations ICON 2021 Ritesh Kumar, Shyam Ratan, Siddharth Singh, Enakshi Nandi, Laishram Niranjana Devi, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Akanksha Bansal

If approached as three separate classification tasks, the task includes three sub-tasks: aggression identification (sub-task A), gender bias identification (sub-task B), and communal bias identification (sub-task C).

Aggression Identification Classification +2

Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi

no code implementations26 Jun 2022 Ritesh Kumar, Siddharth Singh, Shyam Ratan, Mohit Raj, Sonal Sinha, Bornini Lahiri, Vivek Seshadri, Kalika Bali, Atul Kr. Ojha

In this paper we discuss an in-progress work on the development of a speech corpus for four low-resource Indo-Aryan languages -- Awadhi, Bhojpuri, Braj and Magahi using the field methods of linguistic data collection.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Language Resources and Technologies for Non-Scheduled and Endangered Indian Languages

no code implementations6 Apr 2022 Ritesh Kumar, Bornini Lahiri

In this paper, we give a summary of the resources and technologies for those Indian languages which are not included in the 8th schedule of the Indian Constitution and/or which are endangered.

Aggression in Hindi and English Speech: Acoustic Correlates and Automatic Identification

no code implementations6 Apr 2022 Ritesh Kumar, Atul Kr. Ojha, Bornini Lahiri, Chingrimnng Lungleng

The study is based on a corpus of slightly over 10 hours of political discourse and includes debates on news channel and political speeches.

Developing a Multilingual Annotated Corpus of Misogyny and Aggression

no code implementations LREC 2020 Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar, Akanksha Bansal, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Atul Kr. Ojha

In this paper, we discuss the development of a multilingual annotated corpus of misogyny and aggression in Indian English, Hindi, and Indian Bangla as part of a project on studying and automatically identifying misogyny and communalism on social media (the ComMA Project).

Automatic Identification of Closely-related Indian Languages: Resources and Experiments

no code implementations26 Mar 2018 Ritesh Kumar, Bornini Lahiri, Deepak Alok, Atul Kr. Ojha, Mayank Jain, Abdul Basit, Yogesh Dawer

In this paper, we discuss an attempt to develop an automatic language identification system for 5 closely-related Indo-Aryan languages of India, Awadhi, Bhojpuri, Braj, Hindi and Magahi.

Language Identification

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