Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Applying Distributional Compositional Categorical Models of Meaning to
  Language Translation   The aim of this paper is twofold: first we will use vector space
distributional compositional categorical models of meaning to compare the
meaning of sentences in Irish and in English (and thus ascertain when a
sentence is the translation of another sentence) using the cosine similarity
score. Then we shall outline a procedure which translates nouns by
understanding their context, using a conceptual space model of cognition. We
shall use metrics on the category ConvexRel to determine the distance between
concepts (and determine when a noun is the translation of another noun). This
paper will focus on applications to Irish, a member of the Gaelic family of
languages.

27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th