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Update docs/source/decoding-with-langugage-models/LODR.rst

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Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>
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marcoyang1998 2023-06-29 12:08:12 +08:00 committed by GitHub
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docs/source/decoding-with-langugage-models/LODR.rst
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@ -47,7 +47,7 @@ shallow fusion is the subtraction of the source domain LM.
Some works treat the predictor and the joiner of the neural transducer as its internal LM. However, the LM is Some works treat the predictor and the joiner of the neural transducer as its internal LM. However, the LM is
considered to be weak and can only capture low-level language information. Therefore, `LODR <https://arxiv.org/abs/2203.16776>`__ proposed to use considered to be weak and can only capture low-level language information. Therefore, `LODR <https://arxiv.org/abs/2203.16776>`__ proposed to use
a low-order n-gram LM as an approximation of the ILM of the neural transducer. This leads to the following formula a low-order n-gram LM as an approximation of the ILM of the neural transducer. This leads to the following formula
during decoding for RNNT model: during decoding for transducer model:
.. math:: .. math::