Paradronians are mostly characters with very futuristic alternate modes, especially spacecraft. TLALAK is one of the more recent sites of Transformer cultural growth, mostly due to its strategic position and resources. The languages of the indigenous people have influenced those stationed on the watery planet to have accents that sound Central American in translation. Tlalakan Transformers are usually those with water-based vehicle modes.
VELOCITRONIAN languages ultimately reflect the origins of their speakers as being mostly from what are now the Tagan Heights and Burthov.
In the northern hemisphere, languages tend towards what gets translated to English speakers as various Levantine and Arab Peninsula accents Override in particular has a thick Sur'an accent that translates into a rapidly spoken Lebanese accent, and Vibes has a mellowed-out Qatari accent. I chose a very very smaller model compared to the paper and I trained it only for 2 epochs.Īfter one hour of training, the model achieved 24% accuracy at the end of the first epoch and 36% on the second, this could easily be further improved with more epochs and a larger model and more parameter tuning which I don't have the proper GPU for but the results are pretty good considering the small model size and epochs.In the southern hemisphere, the Burthov influence led to the creation of languages that American English speakers wind up hearing as the accents of Black Sea and northern Mediterranean languages (Knockout’s eastern accent sounds slightly Italian, while Dirt Boss sounds more Ukrainian) along the hemisphere, this creates a belt of languages and dialects that translate as Balkan accents. I did not have a proper GPU so I used google colab (not pro) for the training. The transformer was implemented from scratch using TensorFlow 2 and the instructions of the paper "Attention Is All You Need"Īnd the non_breaking_prefixes can be found in this repository: This is an English to German translator built using Transformers.
German-To-English-Translator-Using-Transformers-From-Scratch Introduction:
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