Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning to Exploit Different Translation Resources for Cross Language
  Information Retrieval   One of the important factors that affects the performance of Cross Language
Information Retrieval(CLIR)is the quality of translations being employed in
CLIR. In order to improve the quality of translations, it is important to
exploit available resources efficiently. Employing different translation
resources with different characteristics has many challenges. In this paper, we
propose a method for exploiting available translation resources simultaneously.
This method employs Learning to Rank(LTR) for exploiting different translation
resources. To apply LTR methods for query translation, we define different
translation relation based features in addition to context based features. We
use the contextual information contained in translation resources for
extracting context based features.The proposed method uses LTR to construct a
translation ranking model based on defined features. The constructed model is
used for ranking translation candidates of query words. To evaluate the
proposed method we do English-Persian CLIR, in which we employ the translation
ranking model to find translations of English queries and employ the
translations to retrieve Persian documents. Experimental results show that our
approach significantly outperforms single resource based CLIR methods.

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The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
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The categories of this paper are: adap-org
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
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The categories of this paper are: alg-geom
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The categories of this paper are: cond-mat
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The categories of this paper are: quant-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: math
36
The categories of this paper are: cmp-lg