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Perez Ogayo

6 accepted papers

2024

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages

NAACL 2024long

Despite the recent progress on scaling multilingual machine translation (MT) to several under-resourced African languages, accurately measuring this progress remains challenging, since evaluation is often performed on n-gram matching metrics such as BLEU, which typically show a weaker correlation wi…

2023

MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African languages

ACL 2023long

In this paper, we present AfricaPOS, the largest part-of-speech (POS) dataset for 20 typologically diverse African languages. We discuss the challenges in annotating POS for these languages using the universal dependencies (UD) guidelines. We conducted extensive POS baseline experiments using both c…

2023

Multi-lingual and Multi-cultural Figurative Language Understanding

ACL 2023findings

Figurative language permeates human communication, but at the same time is relatively understudied in NLP. Datasets have been created in English to accelerate progress towards measuring and improving figurative language processing in language models (LMs). However, the use of figurative language is…

Cited by 26SourcePDFScholar
2022

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation

NAACL 2022long

Recent advances in the pre-training for language models leverage large-scale datasets to create multilingual models. However, low-resource languages are mostly left out in these datasets. This is primarily because many widely spoken languages that are not well represented on the web and therefore ex…

2022

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

EMNLP 2022main

African languages are spoken by over a billion people, but they are under-represented in NLP research and development. Multiple challenges exist, including the limited availability of annotated training and evaluation datasets as well as the lack of understanding of which settings, languages, and re…

2022

Quality-Aware Decoding for Neural Machine Translation

NAACL 2022long

Despite the progress in machine translation quality estimation and evaluation in the last years, decoding in neural machine translation (NMT) is mostly oblivious to this and centers around finding the most probable translation according to the model (MAP decoding), approximated with beam search. In…