Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SYSTRAN Purely Neural MT Engines for WMT2017   This paper describes SYSTRAN's systems submitted to the WMT 2017 shared news
translation task for English-German, in both translation directions. Our
systems are built using OpenNMT, an open-source neural machine translation
system, implementing sequence-to-sequence models with LSTM encoder/decoders and
attention. We experimented using monolingual data automatically
back-translated. Our resulting models are further hyper-specialised with an
adaptation technique that finely tunes models according to the evaluation test
sentences.

3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
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The categories of this paper are: eess
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The categories of this paper are: adap-org
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The categories of this paper are: q-bio
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The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph