This content originally appeared on DEV Community and was authored by Abid
Finetuning Helsinki NLP Multilanguage model to translate text from Yorùbá to English.
In this article, we will build a machine translation model to translate sentences from the Yorùbá language to the English language. These sentences are from various resources such as news articles, conversations on social media, spoken transcripts, and books written purely in the Yorùbá language.
Machine translation for low resource language is quite rare, and its quite hard to get accurate results due to the limited size of available training data for these languages. We have a dataset available for Yoruba text (JW300), but that is used to train in the religions domain. We need a model that is generalized and can be used in multiple domains. This is where ai4d.ai comes in with more generalized data, and all we have to do is train our model on this data and produce an accurate result to secure the top position in AI4D Yorùbá Machine Translation Challenge — Zindi.
In this project we will be using the Helsinki NLP Model, so let's talk about them as an organization.
🤩🚀 Check out how he got his top 20 ranking on the leaderboard, and try it out yourself!
#KeepLearning👉https://bit.ly/310Ah3O
This content originally appeared on DEV Community and was authored by Abid
Abid | Sciencx (2021-11-27T16:07:02+00:00) Simple Machine Translation: Yorùbá to English. Retrieved from https://www.scien.cx/2021/11/27/simple-machine-translation-yoruba-to-english/
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