SPELLL 2023



December 06-08, 2023

KONGU ENGINEERING COLLEGE, TAMIL NADU, INDIA

KEYNOTE TALKS

SPELLL 2023

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

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

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

Parameswari Krishnamurthy

International Institute of Information Technology, Hyderabad



SPELLL 2022

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