Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Reliable Editions from Unreliable Components: Estimating Ebooks from
  Print Editions Using Profile Hidden Markov Models   A profile hidden Markov model, a popular model in biological sequence
analysis, can be used to model related sequences of characters transcribed from
books, magazines, and other printed materials. This paper documents one
application of a profile HMM: automatically producing an ebook edition from
distinct print editions. The resulting ebook has virtually all the desired
properties found in a publisher-prepared ebook, including accurate
transcription and an absence of print artifacts such as end-of-line hyphenation
and running headers. The technique, which has particular benefits for readers
and libraries that require books in an accessible format, is demonstrated using
seven copies of a 19th century novel.

23
The categories of this paper are: solv-int
15
The categories of this paper are: nucl-ex
33
The categories of this paper are: plasm-ph
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
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The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph