Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The CUED's Grammatical Error Correction Systems for BEA-2019   We describe two entries from the Cambridge University Engineering Department
to the BEA 2019 Shared Task on grammatical error correction. Our submission to
the low-resource track is based on prior work on using finite state transducers
together with strong neural language models. Our system for the restricted
track is a purely neural system consisting of neural language models and neural
machine translation models trained with back-translation and a combination of
checkpoint averaging and fine-tuning -- without the help of any additional
tools like spell checkers. The latter system has been used inside a separate
system combination entry in cooperation with the Cambridge University Computer
Lab.

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The categories of this paper are: adap-org
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The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
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The categories of this paper are: bayes-an
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The categories of this paper are: astro-ph
2
The categories of this paper are: math
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The categories of this paper are: dg-ga
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The categories of this paper are: ao-sci
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The categories of this paper are: cond-mat
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The categories of this paper are: patt-sol
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The categories of this paper are: math-ph
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The categories of this paper are: eess
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The categories of this paper are: atom-ph
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The categories of this paper are: econ
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The categories of this paper are: hep-ex