Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Neural Machine Translation: A Review and Survey   The field of machine translation (MT), the automatic translation of written
text from one natural language into another, has experienced a major paradigm
shift in recent years. Statistical MT, which mainly relies on various
count-based models and which used to dominate MT research for decades, has
largely been superseded by neural machine translation (NMT), which tackles
translation with a single neural network. In this work we will trace back the
origins of modern NMT architectures to word and sentence embeddings and earlier
examples of the encoder-decoder network family. We will conclude with a survey
of recent trends in the field.

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The categories of this paper are: gr-qc
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The categories of this paper are: q-fin
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The categories of this paper are: math
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The categories of this paper are: math-ph
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The categories of this paper are: q-bio
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The categories of this paper are: econ
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The categories of this paper are: alg-geom
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The categories of this paper are: ao-sci
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The categories of this paper are: plasm-ph
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The categories of this paper are: nlin
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The categories of this paper are: astro-ph
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The categories of this paper are: physics
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-th
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The categories of this paper are: patt-sol
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The categories of this paper are: chao-dyn