Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Transliteration in Any Language with Surrogate Languages   We introduce a method for transliteration generation that can produce
transliterations in every language. Where previous results are only as
multilingual as Wikipedia, we show how to use training data from Wikipedia as
surrogate training for any language. Thus, the problem becomes one of ranking
Wikipedia languages in order of suitability with respect to a target language.
We introduce several task-specific methods for ranking languages, and show that
our approach is comparable to the oracle ceiling, and even outperforms it in
some cases.

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The categories of this paper are: q-bio
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The categories of this paper are: cmp-lg
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The categories of this paper are: patt-sol
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The categories of this paper are: supr-con
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The categories of this paper are: chem-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: bayes-an
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The categories of this paper are: stat
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The categories of this paper are: chao-dyn
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The categories of this paper are: econ
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The categories of this paper are: nucl-ex
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The categories of this paper are: math-ph
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: q-fin