Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Demonstration of a Neural Machine Translation System with Online
  Learning for Translators   We introduce a demonstration of our system, which implements online learning
for neural machine translation in a production environment. These techniques
allow the system to continuously learn from the corrections provided by the
translators. We implemented an end-to-end platform integrating our machine
translation servers to one of the most common user interfaces for professional
translators: SDL Trados Studio. Our objective was to save post-editing effort
as the machine is continuously learning from human choices and adapting the
models to a specific domain or user style.

4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ