SPELLL 2024

Steffen Eger

Natural Language Learning Group (NLLG),
Bielefeld University, Germany
Low-resource Text Generation
and Evaluation

Genta Indra Winata

Bloomberg LP, New York,
United States
Benchmarking Language Models
on Underrepresented Languages

Kaja Dobrovoljc

Department of Translation Studies
Univerza v Ljubljani, Slovenia
Advantages and challenges of cross-lingually
harmonized approaches to spoken data annotation

Endang Wahyu Pamungkas

Universitas Muhammadiyah Surakarta, Indonesia
Hate Speech Detection in Low-Resourced
Indonesian:Challenges and Opportunities

Manex Aguirrezabal Zabaleta

Department of Nordic Studies and Linguistics
University of Copenhagen, Denmark
Computational models for poetry
generation and automatic analysis of poetry

Radhika Mamidi

International Institute of
Information Technology, Hyderabad
Dialog System

Parameswari Krishnamurthy

International Institute of
Information Technology,
Hyderabad

Domain Adaptation in building neural machine
translation:A Linguistic Enquiry

Deepak Padmanabhan

Queens University-Belfast, United Kingdom
Fairness and Ethics in ML

Dias P.G.V.

University of Moratuwa, Sri Lanka
Creation of Datasets for Training
Language Models for
Low-Resource Languages

Kalika Bali

Principal Researcher, Microsoft Research India
Building Technology for
Low Resource Languages : Lessons Learnt

Kevin Patrick Scannell

Saint Louis University, USA
20 Years a' Growing:
The Past, Present, and Future of Irish NLP

Miguel Ángel García Cumbreras

Universidad de Jaén, Spain
Corpus compilation for
NLP shared tasks: the Spanish case

Salud María Jiménez Zafra

Universidad de Jaén, Spain
Corpus compilation for NLP shared tasks:
the Spanish case