Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Associative Measures and Multi-word Unit Extraction in Turkish   Associative measures are "mathematical formulas determining the strength of
association between two or more words based on their occurrences and
cooccurrences in a text corpus" (Pecina, 2010, p. 138). The purpose of this
paper is to test the 12 associative measures that Text-NSP (Banerjee &
Pedersen, 2003) contains on a 10-million-word subcorpus of Turkish National
Corpus (TNC) (Aksan et.al., 2012). A statistical comparison of those measures
is out of the scope of the study, and the measures will be evaluated according
to the linguistic relevance of the rankings they provide. The focus of the
study is basically on optimizing the corpus data, before applying the measures
and then, evaluating the rankings produced by these measures as a whole, not on
the linguistic relevance of individual n-grams. The findings include
intra-linguistically relevant associative measures for a comma delimited,
sentence splitted, lower-cased, well-balanced, representative, 10-million-word
corpus of Turkish.

2
The categories of this paper are: math
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol