|
|
import os
|
|
import pynini
|
from fun_text_processing.text_normalization.en.graph_utils import (
|
GraphFst,
|
delete_extra_space,
|
delete_space,
|
generator_main,
|
)
|
from fun_text_processing.text_normalization.en.verbalizers.verbalize import VerbalizeFst
|
from fun_text_processing.text_normalization.en.verbalizers.word import WordFst
|
from pynini.lib import pynutil
|
|
import logging
|
|
|
class VerbalizeFinalFst(GraphFst):
|
"""
|
Finite state transducer that verbalizes an entire sentence, e.g.
|
tokens { name: "its" } tokens { time { hours: "twelve" minutes: "thirty" } } tokens { name: "now" } tokens { name: "." } -> its twelve thirty now .
|
|
Args:
|
deterministic: if True will provide a single transduction option,
|
for False multiple options (used for audio-based normalization)
|
cache_dir: path to a dir with .far grammar file. Set to None to avoid using cache.
|
overwrite_cache: set to True to overwrite .far files
|
"""
|
|
def __init__(self, deterministic: bool = True, cache_dir: str = None, overwrite_cache: bool = False):
|
super().__init__(name="verbalize_final", kind="verbalize", deterministic=deterministic)
|
|
far_file = None
|
if cache_dir is not None and cache_dir != "None":
|
os.makedirs(cache_dir, exist_ok=True)
|
far_file = os.path.join(cache_dir, f"en_tn_{deterministic}_deterministic_verbalizer.far")
|
if not overwrite_cache and far_file and os.path.exists(far_file):
|
self.fst = pynini.Far(far_file, mode="r")["verbalize"]
|
logging.info(f'VerbalizeFinalFst graph was restored from {far_file}.')
|
else:
|
verbalize = VerbalizeFst(deterministic=deterministic).fst
|
word = WordFst(deterministic=deterministic).fst
|
types = verbalize | word
|
|
if deterministic:
|
graph = (
|
pynutil.delete("tokens")
|
+ delete_space
|
+ pynutil.delete("{")
|
+ delete_space
|
+ types
|
+ delete_space
|
+ pynutil.delete("}")
|
)
|
else:
|
graph = delete_space + types + delete_space
|
|
graph = delete_space + pynini.closure(graph + delete_extra_space) + graph + delete_space
|
|
self.fst = graph.optimize()
|
if far_file:
|
generator_main(far_file, {"verbalize": self.fst})
|
logging.info(f"VerbalizeFinalFst grammars are saved to {far_file}.")
|
