Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: WeChat Neural Machine Translation Systems for WMT21   This paper introduces WeChat AI's participation in WMT 2021 shared news
translation task on English->Chinese, English->Japanese, Japanese->English and
English->German. Our systems are based on the Transformer (Vaswani et al.,
2017) with several novel and effective variants. In our experiments, we employ
data filtering, large-scale synthetic data generation (i.e., back-translation,
knowledge distillation, forward-translation, iterative in-domain knowledge
transfer), advanced finetuning approaches, and boosted Self-BLEU based model
ensemble. Our constrained systems achieve 36.9, 46.9, 27.8 and 31.3
case-sensitive BLEU scores on English->Chinese, English->Japanese,
Japanese->English and English->German, respectively. The BLEU scores of
English->Chinese, English->Japanese and Japanese->English are the highest among
all submissions, and that of English->German is the highest among all
constrained submissions.

16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol