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README.md

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 # mt5-large-spanish-nahuatl
-Nahuatl is the most widely spoken indigenous language in Mexico, yet training a neural network for machine translation presents significant challenges due to insufficient structured data. Popular datasets, like Axolot and the Bible corpus, contain only approximately 16,000 and 7,000 samples, respectively. Complicating matters further, Nahuatl has multiple dialects, and a single word in the Axolot dataset can appear in over three different forms.
+Nahuatl is a polysynthetic macro-language from Mexico which contains 30 variants and is spoken by over 1.6M native speakers. Making it the most spoken native language in the country.
+
+However, training a neural network for machine translation presents significant challenges due to insufficient structured data. 
+Popular datasets, like Axolot and the Bible corpus, contain only approximately 16,000 and 7,000 samples, respectively. 
+Complicating matters further, is the linguistic diversity of Nahuatl itself which results in, for example, the fact that a single word in the Axolot dataset can appear in more than three different forms.
 
 ## Inference API use
 You can change and translate to nahuatl or spanish just do: