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import pynini
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from fun_text_processing.text_normalization.en.graph_utils import DAMO_CHAR, DAMO_SIGMA, GraphFst, delete_space
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from pynini.lib import pynutil
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class WordFst(GraphFst):
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"""
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Finite state transducer for verbalizing word
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e.g. tokens { name: "sleep" } -> sleep
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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="word", kind="verbalize", deterministic=deterministic)
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chars = pynini.closure(DAMO_CHAR - " ", 1)
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char = pynutil.delete("name:") + delete_space + pynutil.delete("\"") + chars + pynutil.delete("\"")
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graph = char @ pynini.cdrewrite(pynini.cross(u"\u00A0", " "), "", "", DAMO_SIGMA)
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self.fst = graph.optimize()
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