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Found 11 papers, 2 papers with code
Linguistically-Motivated Yorùbá-English Machine Translation
In this work, we perform fine-grained analysis on how an SMT system compares with two NMT systems (BiLSTM and Transformer) when translating bare nouns in Yorùbá into English.
Interplay of Machine Translation, Diacritics, and Diacritization
We examine these two questions in both high-resource (HR) and low-resource (LR) settings across 55 different languages (36 African languages and 19 European languages).
Cheetah: Natural Language Generation for 517 African Languages
The findings of this study contribute to advancing NLP research in low-resource settings, enabling greater accessibility and inclusion for African languages in a rapidly expanding digital landscape.
Fumbling in Babel: An Investigation into ChatGPT's Language Identification Ability
However, the range of languages ChatGPT can handle remains largely a mystery.
UBC-DLNLP at SemEval-2023 Task 12: Impact of Transfer Learning on African Sentiment Analysis
We describe our contribution to the SemEVAl 2023 AfriSenti-SemEval shared task, where we tackle the task of sentiment analysis in 14 different African languages.
SERENGETI: Massively Multilingual Language Models for Africa
Multilingual pretrained language models (mPLMs) acquire valuable, generalizable linguistic information during pretraining and have advanced the state of the art on task-specific finetuning.
AfroLID: A Neural Language Identification Tool for African Languages
Problematically, most of the world's 7000+ languages today are not covered by LID technologies.
Towards Afrocentric NLP for African Languages: Where We Are and Where We Can Go
Aligning with ACL 2022 special Theme on "Language Diversity: from Low Resource to Endangered Languages", we discuss the major linguistic and sociopolitical challenges facing development of NLP technologies for African languages.
Improving Similar Language Translation With Transfer Learning
We investigate transfer learning based on pre-trained neural machine translation models to translate between (low-resource) similar languages.
Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked Settings
In this work, we perform fine-grained analysis on how an SMT system compares with two NMT systems (BiLSTM and Transformer) when translating bare nouns in Yor\`ub\'a into English.
Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers
We investigate different approaches to translate between similar languages under low resource conditions, as part of our contribution to the WMT 2020 Similar Languages Translation Shared Task.
