Nina Markl — accepted AI-conference papers

2025

Spoken Document Retrieval for an Unwritten Language: A Case Study on Gormati

Sanjay Booshanam, Kelly Chen, Ondrej Klejch, Thomas Reitmaier, Dani Kalarikalayil Raju, Electra Wallington +5

EMNLP 2025

Speakers of unwritten languages have the potential to benefit from speech-based automatic information retrieval systems. This paper proposes a speech embedding technique that facilitates such a system that we can be used in a zero-shot manner on the target language. After conducting development expe

Cited by 0 Source ↗PDF ↗Scholar ↗

2024

Language Technologies as If People Mattered: Centering Communities in Language Technology Development

Nina Markl, Lauren Hall-Lew, Catherine Lai

COLING 2024main

In this position paper we argue that researchers interested in language and/or language technologies should attend to challenges of linguistic and algorithmic injustice together with language communities. We put forward that this can be done by drawing together diverse scholarly and experiential ins…

Cited by 5 Source ↗PDF ↗Scholar ↗

2023

The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR

Ramon Sanabria, Nikolay Bogoychev, Nina Markl, Andrea Carmantini, Ondrej Klejch, Peter Bell

ICASSP 2023accepted

English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many varieties of English. Although the great many advances in English automatic speech recognition (ASR) over the past decades,…

Cited by 49 Source ↗Scholar ↗