African & Indigenous Futures: Harnessing AI for Global South Languages

African & Indigenous Futures: Harnessing AI for Global South Languages

This webinar explores the integration of African and Indigenous languages into computational processes, including Artificial Intelligence.

By Towards a National Collection

Date and time

Wednesday, May 8 · 6 - 7:30am PDT

Location

Online

Agenda

2:00 PM - 2:05 PM

Introduction

Javier Pereda


Javier is a Senior Researcher of the Towards a National Collection programme.

2:05 PM - 2:35 PM

Indigenous voices, past, present and future: Tech for Nahuatl and Maya

Robert Pugh


Robert Pugh is a PhD student in Computational Linguistics at Indiana University, Bloomington whose work focuses on language technology for Mexican languages, exploring its role in reversing language ...

2:35 PM - 3:00 PM

NLP and Large Language Models: A Case for Inclusive Language Technologies

Ignatius Ezeani


Dr Ignatius Ezeani is a Senior Research Associate at Lancaster University, UK, and a visiting Senior Lecturer at Nnamdi Azikiwe University, Nigeria. He holds a BSc in Computer Science, an MSc in Adva...

3:00 PM - 3:30 PM

Q&A

About this event

  • 1 hour 30 minutes

This Towards a National Collection (TaNC) will focus on the integration of Indigenous and African languages into computational processes, bringing together Robert Pugh from Indiana University, Bloomington and Ignatius Ezeani from Lancaster University:


  • Robert Pugh, Indiana University, Bloomington: Indigenous voices past, present and future: Digital technologies for Nahuatl and Maya
  • Ignatius Ezeani, Lancaster University: NLP and Large Language Models: A Case for Inclusive Language Technologies.

Showcasing the role of innovation in preserving and revitalising African and indigenous cultural heritage, these speakers will discuss the dynamic intersection of Human Language Technology (HLT) and inclusive Natural Language Processing (NLP) models. The webinar will address important topics when working within African and indigenous spaces, such as:

  • the importance of collaborative efforts
  • accessibility of resources
  • careful design of bias-aware language models.

Full abstracts

Robert Pugh: Indigenous voices past, present and future: Digital technologies for Nahuatl and Maya

Nahuatl and Maya are the two most widely spoken indigenous languages in Mexico. Along with many other Mesoamerican languages, they share notable sociolinguistic features: wide dialectal and orthographic variation, a rich pre-/post-colonial literary tradition, and extensive language contact with Spanish. In this talk, I discuss the development of Human Language Technology (HLT) for these two languages, highlighting the diverse functions and utilities of HLT in this context, native speaker training and collaboration, and the importance of public/permissively-licensed linguistic resources.


Ignatius Ezeani: NLP and Large Language Models: A Case for Inclusive Language Technologies

Large language models have taken the world by storm recently but how inclusive are they? In today's diverse world, the need for inclusive language technologies cannot be over-emphasized. By acknowledging and addressing biases, promoting representation, and accommodating diverse linguistic and cultural contexts, inclusive language technologies can foster equitable communication and empower marginalized communities. Through awareness, deliberate design choices, and ongoing refinement, we advocate for the development and implementation of inclusive language technologies to promote social justice and enhance communication for all.

Click here for information on Masakhane: a grassroots organisation whose mission is to strengthen and spur NLP research in African languages, for Africans, by Africans.

For more details about Ignatius Ezeani's work see ORCiD or GScholar.

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