Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PyPLN: a Distributed Platform for Natural Language Processing   This paper presents a distributed platform for Natural Language Processing
called PyPLN. PyPLN leverages a vast array of NLP and text processing open
source tools, managing the distribution of the workload on a variety of
configurations: from a single server to a cluster of linux servers. PyPLN is
developed using Python 2.7.3 but makes it very easy to incorporate other
softwares for specific tasks as long as a linux version is available. PyPLN
facilitates analyses both at document and corpus level, simplifying management
and publication of corpora and analytical results through an easy to use web
interface. In the current (beta) release, it supports English and Portuguese
languages with support to other languages planned for future releases. To
support the Portuguese language PyPLN uses the PALAVRAS parser\citep{Bick2000}.
Currently PyPLN offers the following features: Text extraction with encoding
normalization (to UTF-8), part-of-speech tagging, token frequency, semantic
annotation, n-gram extraction, word and sentence repertoire, and full-text
search across corpora. The platform is licensed as GPL-v3.

30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int