Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Europarl-ST: A Multilingual Corpus For Speech Translation Of
  Parliamentary Debates   Current research into spoken language translation (SLT),or speech-to-text
translation, is often hampered by the lack of specific data resources for this
task, as currently available SLT datasets are restricted to a limited set of
language pairs. In this paper we present Europarl-ST, a novel multilingual SLT
corpus containing paired audio-text samples for SLT from and into 6 European
languages, for a total of 30 different translation directions. This corpus has
been compiled using the debates held in the European Parliament in the period
between 2008 and 2012. This paper describes the corpus creation process and
presents a series of automatic speech recognition, machine translation and
spoken language translation experiments that highlight the potential of this
new resource. The corpus is released under a Creative Commons license and is
freely accessible and downloadable.

24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con