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20182024
most citedEnglish-Bhojpuri SMT System: Insights from the Karaka Model

8 citations · 13 across the 8 of their papers we have counts for

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cs.CL2024★ 5 cited

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…

cs.CL2024

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…

cs.CL2023

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…

cs.CL2022

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…

cs.CL2022

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…

cs.CL2021

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…