Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A simple discriminative training method for machine translation with
  large-scale features   Margin infused relaxed algorithms (MIRAs) dominate model tuning in
statistical machine translation in the case of large scale features, but also
they are famous for the complexity in implementation. We introduce a new
method, which regards an N-best list as a permutation and minimizes the
Plackett-Luce loss of ground-truth permutations. Experiments with large-scale
features demonstrate that, the new method is more robust than MERT; though it
is only matchable with MIRAs, it has a comparatively advantage, easier to
implement.

31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex