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import pynini
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from fun_text_processing.text_normalization.en.graph_utils import (
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DAMO_NON_BREAKING_SPACE,
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DAMO_SPACE,
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GraphFst,
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delete_space,
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)
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from fun_text_processing.text_normalization.ru.alphabet import RU_ALPHA
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from pynini.lib import pynutil
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class MeasureFst(GraphFst):
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"""
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Finite state transducer for verbalizing measure, e.g.
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measure { cardinal { integer: "два килограма" } } -> "два килограма"
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Args:
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deterministic: if True will provide a single transduction option,
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for False multiple transduction are generated (used for audio-based normalization)
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"""
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def __init__(self, deterministic: bool = True):
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super().__init__(name="measure", kind="verbalize", deterministic=deterministic)
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graph = (
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pynutil.delete(" cardinal { integer: \"")
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+ pynini.closure(RU_ALPHA | DAMO_SPACE | DAMO_NON_BREAKING_SPACE)
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+ pynutil.delete("\"")
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+ delete_space
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+ pynutil.delete("}")
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)
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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