62 citations · 112 across the 16 of their papers we have counts for
16 papers
Findings of the IWSLT 2024 Evaluation Campaign
Ibrahim Said Ahmad, Antonios Anastasopoulos, Ondřej Bojar +42
This paper reports on the shared tasks organized by the 21st IWSLT Conference. The shared tasks address 7 scientific challenges in spoken language translation: simultaneous and off…
Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages
David Ifeoluwa Adelani, A. Seza Doğruöz, André Coneglian +1
Large Language Models are transforming NLP for a variety of tasks. However, how LLMs perform NLP tasks for low-resource languages (LRLs) is less explored. In line with the goals of…
Empirical Analysis of Oral and Nasal Vowels of Konkani
Swapnil Fadte, Edna Vaz, Atul Kr. Ojha +2
Konkani is a highly nasalised language which makes it unique among Indo-Aryan languages. This work investigates the acoustic-phonetic properties of Konkani oral and nasal vowels. F…
Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi
Ritesh Kumar, Siddharth Singh, Shyam Ratan +6
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 m…
Universal Dependency Treebank for Odia Language
Shantipriya Parida, Kalyanamalini Sahoo, Atul Kr. Ojha +3
This paper presents the first publicly available treebank of Odia, a morphologically rich low resource Indian language. The treebank contains approx. 1082 tokens (100 sentences) in…
Developing Universal Dependency Treebanks for Magahi and Braj
Mohit Raj, Shyam Ratan, Deepak Alok +2
In this paper, we discuss the development of treebanks for two low-resourced Indian languages - Magahi and Braj based on the Universal Dependencies framework. The Magahi treebank c…
Aggression in Hindi and English Speech: Acoustic Correlates and Automatic Identification
Ritesh Kumar, Atul Kr. Ojha, Bornini Lahiri +1
In the present paper, we will present the results of an acoustic analysis of political discourse in Hindi and discuss some of the conventionalised acoustic features of aggressive s…
Prosody Labelled Dataset for Hindi using Semi-Automated Approach
Esha Banerjee, Atul Kr. Ojha, Girish Nath Jha
This study aims to develop a semi-automatically labelled prosody database for Hindi, for enhancing the intonation component in ASR and TTS systems, which is also helpful for buildi…
The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse
Ritesh Kumar, Enakshi Nandi, Laishram Niranjana Devi +4
In this paper, we discuss the development of a multilingual dataset annotated with a hierarchical, fine-grained tagset marking different types of aggression and the "context" in wh…
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages
Atul Kr. Ojha, Chao-Hong Liu, Katharina Kann +3
We present the findings of the LoResMT 2021 shared task which focuses on machine translation (MT) of COVID-19 data for both low-resource spoken and sign languages. The organization…
Developing a Multilingual Annotated Corpus of Misogyny and Aggression
Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar +5
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…
English-Bhojpuri SMT System: Insights from the Karaka Model
Atul Kr. Ojha
This thesis has been divided into six chapters namely: Introduction, Karaka Model and it impacts on Dependency Parsing, LT Resources for Bhojpuri, English-Bhojpuri SMT System: Expe…
The RGNLP Machine Translation Systems for WAT 2018
Atul Kr. Ojha, Koel Dutta Chowdhury, Chao-Hong Liu +1
This paper presents the system description of Machine Translation (MT) system(s) for Indic Languages Multilingual Task for the 2018 edition of the WAT Shared Task. In our experimen…
Demo of Sanskrit-Hindi SMT System
Rajneesh Pandey, Atul Kr. Ojha, Girish Nath Jha
The demo proposal presents a Phrase-based Sanskrit-Hindi (SaHiT) Statistical Machine Translation system. The system has been developed on Moses. 43k sentences of Sanskrit-Hindi par…
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…
Automatic Identification of Closely-related Indian Languages: Resources and Experiments
Ritesh Kumar, Bornini Lahiri, Deepak Alok +4
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 M…