Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sentence Correction Based on Large-scale Language Modelling   With the further development of informatization, more and more data is stored
in the form of text. There are some loss of text during their generation and
transmission. The paper aims to establish a language model based on the
large-scale corpus to complete the restoration of missing text. In this paper,
we introduce a novel measurement to find the missing words, and a way of
establishing a comprehensive candidate lexicon to insert the correct choice of
words. The paper also introduces some effective optimization methods, which
largely improve the efficiency of the text restoration and shorten the time of
dealing with 1000 sentences into 3.6 seconds. \keywords{ language model,
sentence correction, word imputation, parallel optimization

16
The categories of this paper are: stat
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph