activity
20222026
most citedExplainable AI: XAI-Guided Context-Aware Data Augmentation

15 citations · 47 across the 32 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

13 papers · 2 filters

cs.CL2023

First Attempt at Building Parallel Corpora for Machine Translation of Northeast India's Very Low-Resource Languages

Atnafu Lambebo Tonja, Melkamu Mersha, Ananya Kalita +2

This paper presents the creation of initial bilingual corpora for thirteen very low-resource languages of India, all from Northeast India. It also presents the results of initial t…

cs.CL2023★ 1 cited

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…

cs.CL2023★ 1 cited

AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR

Tobi Olatunji, Tejumade Afonja, Aditya Yadavalli +8

Africa has a very low doctor-to-patient ratio. At very busy clinics, doctors could see 30+ patients per day -- a heavy patient burden compared with developed countries -- but produ…

cs.CL2023

Automatic Translation of Hate Speech to Non-hate Speech in Social Media Texts

Yevhen Kostiuk, Atnafu Lambebo Tonja, Grigori Sidorov +1

In this paper, we investigate the issue of hate speech by presenting a novel task of translating hate speech into non-hate speech text while preserving its meaning. As a case study…

cs.CL2023

AfriNames: Most ASR models "butcher" African Names

Tobi Olatunji, Tejumade Afonja, Bonaventure F. P. Dossou +4

Useful conversational agents must accurately capture named entities to minimize error for downstream tasks, for example, asking a voice assistant to play a track from a certain art…

cs.CL2023★ 1 cited

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…

cs.CL2023

Parallel Corpus for Indigenous Language Translation: Spanish-Mazatec and Spanish-Mixtec

Atnafu Lambebo Tonja, Christian Maldonado-Sifuentes, David Alejandro Mendoza Castillo +4

In this paper, we present a parallel Spanish-Mazatec and Spanish-Mixtec corpus for machine translation (MT) tasks, where Mazatec and Mixtec are two indigenous Mexican languages. We…

cs.CL2023★ 8 cited

AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages

Odunayo Ogundepo, Tajuddeen R. Gwadabe, Clara E. Rivera +49

African languages have far less in-language content available digitally, making it challenging for question answering systems to satisfy the information needs of users. Cross-lingu…

cs.CL2023

Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages

Israel Abebe Azime, Sana Sabah Al-Azzawi, Atnafu Lambebo Tonja +8

AfriSenti-SemEval Shared Task 12 of SemEval-2023. The task aims to perform monolingual sentiment classification (sub-task A) for 12 African languages, multilingual sentiment classi…

cs.CL2023★ 4 cited

MasakhaNEWS: News Topic Classification for African languages

David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime +62

African languages are severely under-represented in NLP research due to lack of datasets covering several NLP tasks. While there are individual language specific datasets that are…

cs.CL2023★ 2 cited

Adapting to the Low-Resource Double-Bind: Investigating Low-Compute Methods on Low-Resource African Languages

Colin Leong, Herumb Shandilya, Bonaventure F. P. Dossou +10

Many natural language processing (NLP) tasks make use of massively pre-trained language models, which are computationally expensive. However, access to high computational resources…

cs.CL2023★ 3 cited

Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities

Atnafu Lambebo Tonja, Tadesse Destaw Belay, Israel Abebe Azime +4

This survey delves into the current state of natural language processing (NLP) for four Ethiopian languages: Amharic, Afaan Oromo, Tigrinya, and Wolaytta. Through this paper, we id…

cs.CL2023★ 3 cited

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…