chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 13:25:10 +08:00
commit c397331b1e
3684 changed files with 990993 additions and 0 deletions
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import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
DAMO_NOT_QUOTE,
GraphFst,
delete_space,
)
from pynini.lib import pynutil
class CardinalFst(GraphFst):
"""
Finite state transducer for verbalizing cardinal
e.g. cardinal { integer: "23" negative: "-" } -> -23
"""
def __init__(self):
super().__init__(name="cardinal", kind="verbalize")
optional_sign = pynini.closure(
pynutil.delete("negative:")
+ delete_space
+ pynutil.delete('"')
+ DAMO_NOT_QUOTE
+ pynutil.delete('"')
+ delete_space,
0,
1,
)
graph = (
pynutil.delete("integer:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
self.numbers = graph
graph = optional_sign + graph
delete_tokens = self.delete_tokens(graph)
self.fst = delete_tokens.optimize()
@@ -0,0 +1,67 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
DAMO_NOT_QUOTE,
GraphFst,
delete_space,
)
from pynini.lib import pynutil
class DateFst(GraphFst):
"""
Finite state transducer for verbalizing date, e.g.
date { month: "1" year: "2012"} -> tháng 1 năm 2012
date { day: "5" month: "10" year: "2021" preserve_order: true } -> 5 tháng 10 năm 2021
"""
def __init__(self):
super().__init__(name="date", kind="verbalize")
day = (
pynutil.delete("day:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
month = (
pynutil.delete("month:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
year = (
pynutil.delete("year:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ delete_space
+ pynutil.delete('"')
)
# (day) month year
# day month
graph_dm = day + delete_space + pynutil.insert(" tháng ") + month
graph_dmy = graph_dm + delete_space + pynutil.insert(" năm ") + year
graph_m = pynutil.insert("tháng ") + month
graph_my = pynutil.insert("tháng ") + month + delete_space + pynutil.insert(" năm ") + year
graph_y = pynutil.insert("năm ") + year
optional_preserve_order = pynini.closure(
pynutil.delete("preserve_order:") + delete_space + pynutil.delete("true") + delete_space
| pynutil.delete("field_order:")
+ delete_space
+ pynutil.delete('"')
+ DAMO_NOT_QUOTE
+ pynutil.delete('"')
+ delete_space
)
final_graph = (
(graph_y | graph_m | graph_dm | graph_dmy | graph_my)
+ delete_space
+ optional_preserve_order
)
delete_tokens = self.delete_tokens(final_graph)
self.fst = delete_tokens.optimize()
@@ -0,0 +1,48 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
DAMO_NOT_QUOTE,
GraphFst,
delete_space,
)
from pynini.lib import pynutil
class DecimalFst(GraphFst):
"""
Finite state transducer for verbalizing decimal, e.g.
decimal { negative: "true" integer_part: "12" fractional_part: "5006" quantity: "tỷ" } -> -12.5006 tỷ
"""
def __init__(self):
super().__init__(name="decimal", kind="verbalize")
optionl_sign = pynini.closure(pynini.cross('negative: "true"', "-") + delete_space, 0, 1)
integer = (
pynutil.delete("integer_part:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
optional_integer = pynini.closure(integer + delete_space, 0, 1)
fractional = (
pynutil.insert(".")
+ pynutil.delete("fractional_part:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
optional_fractional = pynini.closure(fractional + delete_space, 0, 1)
quantity = (
pynutil.delete("quantity:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
optional_quantity = pynini.closure(pynutil.insert(" ") + quantity + delete_space, 0, 1)
graph = optional_integer + optional_fractional + optional_quantity
self.numbers = graph
graph = optionl_sign + graph
delete_tokens = self.delete_tokens(graph)
self.fst = delete_tokens.optimize()
@@ -0,0 +1,45 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
DAMO_NOT_QUOTE,
GraphFst,
delete_space,
)
from pynini.lib import pynutil
class ElectronicFst(GraphFst):
"""
Finite state transducer for verbalizing electronic
e.g. tokens { electronic { username: "cdf1" domain: "abc.edu" } } -> cdf1@abc.edu
"""
def __init__(self):
super().__init__(name="electronic", kind="verbalize")
user_name = (
pynutil.delete("username:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
domain = (
pynutil.delete("domain:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
protocol = (
pynutil.delete("protocol:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
graph = user_name + delete_space + pynutil.insert("@") + domain
graph |= protocol
delete_tokens = self.delete_tokens(graph)
self.fst = delete_tokens.optimize()
@@ -0,0 +1,34 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
DAMO_NOT_QUOTE,
GraphFst,
delete_space,
)
from pynini.lib import pynutil
class FractionFst(GraphFst):
"""
Finite state transducer for verbalizing fraction,
e.g. fraction { numerator: "2" denominator: "3" } } -> 2/3
e.g. fraction { numerator: "20" denominator: "3" negative: "true"} } -> 2/3
"""
def __init__(self):
super().__init__(name="fraction", kind="verbalize")
optional_sign = pynini.closure(pynini.cross('negative: "true"', "-") + delete_space, 0, 1)
numerator = (
pynutil.delete('numerator: "') + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete('"')
)
denominator = (
pynutil.insert("/")
+ pynutil.delete('denominator: "')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
graph = (numerator + delete_space + denominator).optimize()
self.numbers = graph
delete_tokens = self.delete_tokens(optional_sign + graph)
self.fst = delete_tokens.optimize()
@@ -0,0 +1,68 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
DAMO_CHAR,
DAMO_NOT_QUOTE,
GraphFst,
delete_space,
)
from pynini.lib import pynutil
class MeasureFst(GraphFst):
"""
Finite state transducer for verbalizing measure, e.g.
measure { negative: "true" cardinal { integer: "12" } units: "kg" } -> -12 kg
Args:
decimal: DecimalFst
cardinal: CardinalFst
"""
def __init__(self, decimal: GraphFst, cardinal: GraphFst):
super().__init__(name="measure", kind="verbalize")
optional_sign = pynini.closure(pynini.cross('negative: "true"', "-"), 0, 1)
unit = (
pynutil.delete("units:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_CHAR - " ", 1)
+ pynutil.delete('"')
+ delete_space
)
graph_decimal = (
pynutil.delete("decimal {")
+ delete_space
+ optional_sign
+ delete_space
+ decimal.numbers
+ delete_space
+ pynutil.delete("}")
)
graph_cardinal = (
pynutil.delete("cardinal {")
+ delete_space
+ optional_sign
+ delete_space
+ cardinal.numbers
+ delete_space
+ pynutil.delete("}")
)
fractional = (
pynutil.insert(".")
+ pynutil.delete("fractional_part:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
optional_fractional = pynini.closure(fractional + delete_space, 0, 1)
graph = (
(graph_cardinal | graph_decimal)
+ delete_space
+ optional_fractional
+ pynutil.insert(" ")
+ unit
+ delete_space
)
delete_tokens = self.delete_tokens(graph)
self.fst = delete_tokens.optimize()
@@ -0,0 +1,30 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
DAMO_CHAR,
GraphFst,
delete_space,
)
from pynini.lib import pynutil
class MoneyFst(GraphFst):
"""
Finite state transducer for verbalizing money, e.g.
money { integer_part: "12" fractional_part: "05" currency: "$" } -> 12.05$
Args:
decimal: DecimalFst
"""
def __init__(self, decimal: GraphFst):
super().__init__(name="money", kind="verbalize")
unit = (
pynutil.delete("currency:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_CHAR - " ", 1)
+ pynutil.delete('"')
)
graph = decimal.numbers + delete_space + unit
delete_tokens = self.delete_tokens(graph)
self.fst = delete_tokens.optimize()
@@ -0,0 +1,28 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
DAMO_NOT_QUOTE,
GraphFst,
delete_space,
)
from pynini.lib import pynutil
class OrdinalFst(GraphFst):
"""
Finite state transducer for verbalizing ordinal, e.g.
ordinal { integer: "2" } -> thứ 2
"""
def __init__(self):
super().__init__(name="ordinal", kind="verbalize")
graph = (
pynutil.delete("integer:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
graph = pynutil.insert("thứ ") + graph
delete_tokens = self.delete_tokens(graph)
self.fst = delete_tokens.optimize()
@@ -0,0 +1,22 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import DAMO_NOT_QUOTE, GraphFst
from pynini.lib import pynutil
class TelephoneFst(GraphFst):
"""
Finite state transducer for verbalizing telephone, e.g.
telephone { number_part: "1231235678" }
-> 1231235678
"""
def __init__(self):
super().__init__(name="telephone", kind="verbalize")
number_part = (
pynutil.delete('number_part: "')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
+ pynutil.delete('"')
)
delete_tokens = self.delete_tokens(number_part)
self.fst = delete_tokens.optimize()
@@ -0,0 +1,82 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
DAMO_CHAR,
DAMO_DIGIT,
GraphFst,
delete_space,
insert_space,
)
from pynini.lib import pynutil
class TimeFst(GraphFst):
"""
Finite state transducer for verbalizing time, e.g.
time { hours: "3" } -> 3h
time { hours: "12" minutes: "30" } -> 12:30
time { hours: "1" minutes: "12" second: "22"} -> 1:12:22
time { minutes: "36" second: "45"} -> 36p45s
time { hours: "2" zone: "gmt" } -> 2h gmt
"""
def __init__(self):
super().__init__(name="time", kind="verbalize")
add_leading_zero_to_double_digit = (DAMO_DIGIT + DAMO_DIGIT) | (
pynutil.insert("0") + DAMO_DIGIT
)
hour = (
pynutil.delete("hours:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_DIGIT, 1)
+ pynutil.delete('"')
)
minute = (
pynutil.delete("minutes:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_DIGIT, 1)
+ pynutil.delete('"')
)
second = (
pynutil.delete("seconds:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_DIGIT, 1)
+ pynutil.delete('"')
)
zone = (
delete_space
+ insert_space
+ pynutil.delete("zone:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_CHAR - " ", 1)
+ pynutil.delete('"')
)
optional_zone = pynini.closure(zone, 0, 1)
optional_second = pynini.closure(
delete_space + pynutil.insert(":") + (second @ add_leading_zero_to_double_digit),
0,
1,
)
graph_h = hour + pynutil.insert("h")
graph_hms = (
hour
+ delete_space
+ pynutil.insert(":")
+ (minute @ add_leading_zero_to_double_digit)
+ optional_second
)
graph_ms = (
minute
+ delete_space
+ pynutil.insert("p")
+ (second @ add_leading_zero_to_double_digit)
+ pynutil.insert("s")
)
graph = (graph_h | graph_ms | graph_hms) + optional_zone
delete_tokens = self.delete_tokens(graph)
self.fst = delete_tokens.optimize()
@@ -0,0 +1,51 @@
from fun_text_processing.inverse_text_normalization.vi.graph_utils import GraphFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.cardinal import CardinalFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.date import DateFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.decimal import DecimalFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.electronic import ElectronicFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.fraction import FractionFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.measure import MeasureFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.money import MoneyFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.ordinal import OrdinalFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.telephone import TelephoneFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.time import TimeFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.whitelist import WhiteListFst
class VerbalizeFst(GraphFst):
"""
Composes other verbalizer grammars.
For deployment, this grammar will be compiled and exported to OpenFst Finate State Archiv (FAR) File.
More details to deployment at NeMo/tools/text_processing_deployment.
"""
def __init__(self):
super().__init__(name="verbalize", kind="verbalize")
cardinal = CardinalFst()
cardinal_graph = cardinal.fst
ordinal_graph = OrdinalFst().fst
decimal = DecimalFst()
decimal_graph = decimal.fst
fraction = FractionFst()
fraction_graph = fraction.fst
measure_graph = MeasureFst(decimal=decimal, cardinal=cardinal).fst
money_graph = MoneyFst(decimal=decimal).fst
time_graph = TimeFst().fst
date_graph = DateFst().fst
whitelist_graph = WhiteListFst().fst
telephone_graph = TelephoneFst().fst
electronic_graph = ElectronicFst().fst
graph = (
time_graph
| date_graph
| money_graph
| measure_graph
| ordinal_graph
| fraction_graph
| decimal_graph
| cardinal_graph
| whitelist_graph
| telephone_graph
| electronic_graph
)
self.fst = graph
@@ -0,0 +1,33 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
GraphFst,
delete_extra_space,
delete_space,
)
from fun_text_processing.inverse_text_normalization.vi.verbalizers.verbalize import VerbalizeFst
from fun_text_processing.inverse_text_normalization.vi.verbalizers.word import WordFst
from pynini.lib import pynutil
class VerbalizeFinalFst(GraphFst):
"""
Finite state transducer that verbalizes an entire sentence, e.g.
tokens { name: "its" } tokens { time { hours: "12" minutes: "30" } } tokens { name: "now" } -> its 12:30 now
"""
def __init__(self):
super().__init__(name="verbalize_final", kind="verbalize")
verbalize = VerbalizeFst().fst
word = WordFst().fst
types = verbalize | word
graph = (
pynutil.delete("tokens")
+ delete_space
+ pynutil.delete("{")
+ delete_space
+ types
+ delete_space
+ pynutil.delete("}")
)
graph = delete_space + pynini.closure(graph + delete_extra_space) + graph + delete_space
self.fst = graph
@@ -0,0 +1,27 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
DAMO_CHAR,
DAMO_SIGMA,
GraphFst,
delete_space,
)
from pynini.lib import pynutil
class WhiteListFst(GraphFst):
"""
Finite state transducer for verbalizing whitelist
e.g. tokens { name: "mrs." } -> mrs.
"""
def __init__(self):
super().__init__(name="whitelist", kind="verbalize")
graph = (
pynutil.delete("name:")
+ delete_space
+ pynutil.delete('"')
+ pynini.closure(DAMO_CHAR - " ", 1)
+ pynutil.delete('"')
)
graph = graph @ pynini.cdrewrite(pynini.cross("\u00A0", " "), "", "", DAMO_SIGMA)
self.fst = graph.optimize()
@@ -0,0 +1,29 @@
import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
DAMO_CHAR,
DAMO_SIGMA,
GraphFst,
delete_space,
)
from pynini.lib import pynutil
class WordFst(GraphFst):
"""
Finite state transducer for verbalizing plain tokens
e.g. tokens { name: "sleep" } -> sleep
"""
def __init__(self):
super().__init__(name="word", kind="verbalize")
chars = pynini.closure(DAMO_CHAR - " ", 1)
char = (
pynutil.delete("name:")
+ delete_space
+ pynutil.delete('"')
+ chars
+ pynutil.delete('"')
)
graph = char @ pynini.cdrewrite(pynini.cross("\u00A0", " "), "", "", DAMO_SIGMA)
self.fst = graph.optimize()