7 citations · 18 across the 9 of their papers we have counts for
12 papers
UnWEIRDing Peer Review in Human Computer Interaction
Hellina Hailu Nigatu, Farhana Shahid, Vishal Sharma +3
Peer review determines which scholarship is legitimized; however, review biases often disadvantage scholarship that diverges from the norm. Human-Computer Interaction (HCI) lacks a…
Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens
Hellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha +5
As low-resourced languages are increasingly incorporated into NLP research, there is an emphasis on collecting large-scale datasets. But in prioritizing quantity over quality, we r…
Into the Void: Understanding Online Health Information in Low-Web Data Languages
Hellina Hailu Nigatu, Nuredin Ali Abdelkadir, Fiker Tewelde +2
Data voids--areas of the internet where reliable information is scarce or absent--pose significant challenges to online health information seeking, particularly for users operating…
A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge'ez Script
Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Henok Biadglign Ademtew +4
Homophone normalization, where characters that have the same sound in a writing script are mapped to one character, is a pre-processing step applied in Amharic Natural Language Pro…
Exploitation All the Way Down: Calling out the Root Cause of Bad Online Experiences for Users of the "Majority World"
Hellina Hailu Nigatu, Zeerak Talat
Global Majority users are exposed to multitudes of harm when interacting with online platforms. This essay illuminates how exploitation in the advances of Artificial Intelligence i…
A Capabilities Approach to Studying Bias and Harm in Language Technologies
Hellina Hailu Nigatu, Zeerak Talat
Mainstream Natural Language Processing (NLP) research has ignored the majority of the world's languages. In moving from excluding the majority of the world's languages to blindly a…
The Zeno's Paradox of `Low-Resource' Languages
Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman +2
The disparity in the languages commonly studied in Natural Language Processing (NLP) is typically reflected by referring to languages as low vs high-resourced. However, there is li…
Low-resourced Languages and Online Knowledge Repositories: A Need-Finding Study
Hellina Hailu Nigatu, John Canny, Sarah E. Chasins
Online Knowledge Repositories (OKRs) like Wikipedia offer communities a way to share and preserve information about themselves and their ways of living. However, for communities wi…
"I Searched for a Religious Song in Amharic and Got Sexual Content Instead": Investigating Online Harm in Low-Resourced Languages on YouTube
Hellina Hailu Nigatu, Inioluwa Deborah Raji
Online social media platforms such as YouTube have a wide, global reach. However, little is known about the experience of low-resourced language speakers on such platforms; especia…
The Less the Merrier? Investigating Language Representation in Multilingual Models
Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Jugal Kalita
Multilingual Language Models offer a way to incorporate multiple languages in one model and utilize cross-language transfer learning to improve performance for different Natural La…
Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models
Atnafu Lambebo Tonja, Hellina Hailu Nigatu, Olga Kolesnikova +3
This paper describes CIC NLP's submission to the AmericasNLP 2023 Shared Task on machine translation systems for indigenous languages of the Americas. We present the system descrip…
The African Stopwords project: curating stopwords for African languages
Chris Emezue, Hellina Nigatu, Cynthia Thinwa +19
Stopwords are fundamental in Natural Language Processing (NLP) techniques for information retrieval. One of the common tasks in preprocessing of text data is the removal of stopwor…