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Change the default value of lattice-score-scale from 1.0 to 0.5
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@ -108,7 +108,7 @@ def get_parser():
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parser.add_argument(
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parser.add_argument(
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"--lattice-score-scale",
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"--lattice-score-scale",
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type=float,
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type=float,
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default=1.0,
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default=0.5,
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help="""The scale to be applied to `lattice.scores`.
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help="""The scale to be applied to `lattice.scores`.
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It's needed if you use any kinds of n-best based rescoring.
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It's needed if you use any kinds of n-best based rescoring.
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Used only when "method" is one of the following values:
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Used only when "method" is one of the following values:
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@ -278,7 +278,8 @@ def decode_one_batch(
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"attention-decoder",
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"attention-decoder",
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]
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]
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lm_scale_list = [0.8, 0.9, 1.0, 1.1, 1.2, 1.3]
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lm_scale_list = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7]
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lm_scale_list += [0.8, 0.9, 1.0, 1.1, 1.2, 1.3]
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lm_scale_list += [1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0]
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lm_scale_list += [1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0]
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if params.method == "nbest-rescoring":
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if params.method == "nbest-rescoring":
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@ -206,7 +206,8 @@ def decode_one_batch(
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assert params.method in ["nbest-rescoring", "whole-lattice-rescoring"]
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assert params.method in ["nbest-rescoring", "whole-lattice-rescoring"]
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lm_scale_list = [0.8, 0.9, 1.0, 1.1, 1.2, 1.3]
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lm_scale_list = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7]
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lm_scale_list += [0.8, 0.9, 1.0, 1.1, 1.2, 1.3]
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lm_scale_list += [1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0]
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lm_scale_list += [1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0]
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if params.method == "nbest-rescoring":
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if params.method == "nbest-rescoring":
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