Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Model Interpolation with Trans-dimensional Random Field Language Models
  for Speech Recognition   The dominant language models (LMs) such as n-gram and neural network (NN)
models represent sentence probabilities in terms of conditionals. In contrast,
a new trans-dimensional random field (TRF) LM has been recently introduced to
show superior performances, where the whole sentence is modeled as a random
field. In this paper, we examine how the TRF models can be interpolated with
the NN models, and obtain 12.1\% and 17.9\% relative error rate reductions over
6-gram LMs for English and Chinese speech recognition respectively through
log-linear combination.

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The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
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The categories of this paper are: adap-org
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The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
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The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
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The categories of this paper are: quant-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: math-ph
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The categories of this paper are: nlin
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-bio
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The categories of this paper are: astro-ph
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The categories of this paper are: bayes-an