Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Supervised and Unsupervised Neural Machine Translation Baselines
  for Nigerian Pidgin   Nigerian Pidgin is arguably the most widely spoken language in Nigeria.
Variants of this language are also spoken across West and Central Africa,
making it a very important language. This work aims to establish supervised and
unsupervised neural machine translation (NMT) baselines between English and
Nigerian Pidgin. We implement and compare NMT models with different
tokenization methods, creating a solid foundation for future works.

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The categories of this paper are: econ
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The categories of this paper are: dg-ga
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The categories of this paper are: adap-org
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The categories of this paper are: hep-lat
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The categories of this paper are: chao-dyn
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The categories of this paper are: chem-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: hep-th
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The categories of this paper are: q-fin
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The categories of this paper are: cmp-lg
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The categories of this paper are: eess
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The categories of this paper are: gr-qc
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-ex
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The categories of this paper are: comp-gas
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The categories of this paper are: alg-geom