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Varepsilon kú mask: Integrating Yorùbá cultural greetings into machine translation

This paper investigates the performance of massively multilingual neural machine translation (NMT) systems in translating Yorùbá greetings (" kú <mask>1), which are a big part of Yorùbá language and culture, into English. To evaluate these models, we present IkiniYorùbá, a Yorùbá-English translation...

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Format: Conference Proceeding
Published: 2023
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LEADER 00000njm a2000000a 4500
001 oai:repository.ui.edu.ng:123456789/12163
042 |a dc 
720 |a Akinade, I.  |e author 
720 |a Alabi, J. O.  |e author 
720 |a Adelani, D.  |e author 
720 |a Odoje, C.  |e author 
720 |a Klakow, D.  |e author 
260 |c 2023 
520 |a This paper investigates the performance of massively multilingual neural machine translation (NMT) systems in translating Yorùbá greetings (" kú <mask>1), which are a big part of Yorùbá language and culture, into English. To evaluate these models, we present IkiniYorùbá, a Yorùbá-English translation dataset containing some Yorùbá greetings, and sample use cases. We analysed the performance of different multilingual NMT systems including Google Translate and NLLB and show that these models struggle to accurately translate Yorùbá greetings into English. In addition, we trained a Yorùbá-English model by finetuning an existing NMT model on the training split of IkiniYorùbá and this achieved better performance when compared to the pre-trained multilingual NMT models, although they were trained on a large volume of data. 
024 8 |a ui_inpro_akinade_integrating_2023 
024 8 |a AfricaNLP Workshop at ICLR2023 
024 8 |a https://repository.ui.edu.ng/handle/123456789/12163 
653 |a Neural Machine Translation (NMT) 
653 |a Yorùbá greetings 
653 |a Yorùbá language 
653 |a IkiniYorùbá 
245 0 0 |a Varepsilon kú mask: Integrating Yorùbá cultural greetings into machine translation