Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A reproduction of Apple's bi-directional LSTM models for language
  identification in short strings   Language Identification is the task of identifying a document's language. For
applications like automatic spell checker selection, language identification
must use very short strings such as text message fragments. In this work, we
reproduce a language identification architecture that Apple briefly sketched in
a blog post. We confirm the bi-LSTM model's performance and find that it
outperforms current open-source language identifiers. We further find that its
language identification mistakes are due to confusion between related
languages.

14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
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The categories of this paper are: nucl-ex
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci