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Vakyansh-Tamil-TTS / ttsv /tts_infer /num_to_word_on_sent.py

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	import re
	import string

	# ----------------------------- indic_num.py -----------------------------
	supported_lang = {"en", "hi", "gu", "mr", "bn", "te", "ta", "kn", "or", "pa"}
	# supported_lang = {'eng', 'hin', 'guj', 'mar', 'ben', 'tel', 'tam', 'kan', 'ori', 'pan'} # Three alphabet lang code

	all_num = {
	"en": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"],
	"hi": ["०", "१", "२", "३", "४", "५", "६", "७", "८", "९"],
	"gu": ["૦", "૧", "૨", "૩", "૪", "૫", "૬", "૭", "૮", "૯"],
	"mr": ["०", "१", "२", "३", "४", "५", "६", "७", "८", "९"],
	"bn": ["০", "১", "২", "৩", "৪", "৫", "৬", "৭", "৮", "৯"],
	"te": ["౦", "౧", "౨", "౩", "౪", "౫", "౬", "౭", "౮", "౯"],
	"ta": ["0", "௧", "௨", "௩", "௪", "௫", "௬", "௭", "௮", "௯", "௰"],
	"kn": ["೦", "೧", "೨", "೩", "೪", "೫", "೬", "೭", "೮", "೯"],
	"or": ["୦", "୧", "୨", "୩", "୪", "୫", "୬", "୭", "୮", "୯"],
	"pa": ["੦", "੧", "੨", "੩", "੪", "੫", "੬", "੭", "੮", "੯"],
	}

	num_dict = dict()
	num_dict["en"] = {
	"0": "zero",
	"1": "one",
	"2": "two",
	"3": "three",
	"4": "four",
	"5": "five",
	"6": "six",
	"7": "seven",
	"8": "eight",
	"9": "nine",
	"10": "ten",
	"11": "eleven",
	"12": "twelve",
	"13": "thirteen",
	"14": "fourteen",
	"15": "fifteen",
	"16": "sixteen",
	"17": "seventeen",
	"18": "eighteen",
	"19": "nineteen",
	"20": "twenty",
	"21": "twenty-one",
	"22": "twenty-two",
	"23": "twenty-three",
	"24": "twenty-four",
	"25": "twenty-five",
	"26": "twenty-six",
	"27": "twenty-seven",
	"28": "twenty-eight",
	"29": "twenty-nine",
	"30": "thirty",
	"31": "thirty-one",
	"32": "thirty-two",
	"33": "thirty-three",
	"34": "thirty-four",
	"35": "thirty-five",
	"36": "thirty-six",
	"37": "thirty-seven",
	"38": "thirty-eight",
	"39": "thirty-nine",
	"40": "forty",
	"41": "forty-one",
	"42": "forty-two",
	"43": "forty-three",
	"44": "forty-four",
	"45": "forty-five",
	"46": "forty-six",
	"47": "forty-seven",
	"48": "forty-eight",
	"49": "forty-nine",
	"50": "fifty",
	"51": "fifty-one",
	"52": "fifty-two",
	"53": "fifty-three",
	"54": "fifty-four",
	"55": "fifty-five",
	"56": "fifty-six",
	"57": "fifty-seven",
	"58": "fifty-eight",
	"59": "fifty-nine",
	"60": "sixty",
	"61": "sixty-one",
	"62": "sixty-two",
	"63": "sixty-three",
	"64": "sixty-four",
	"65": "sixty-five",
	"66": "sixty-six",
	"67": "sixty-seven",
	"68": "sixty-eight",
	"69": "sixty-nine",
	"70": "seventy",
	"71": "seventy-one",
	"72": "seventy-two",
	"73": "seventy-three",
	"74": "seventy-four",
	"75": "seventy-five",
	"76": "seventy-six",
	"77": "seventy-seven",
	"78": "seventy-eight",
	"79": "seventy-nine",
	"80": "eighty",
	"81": "eighty-one",
	"82": "eighty-two",
	"83": "eighty-three",
	"84": "eighty-four",
	"85": "eighty-five",
	"86": "eighty-six",
	"87": "eighty-seven",
	"88": "eighty-eight",
	"89": "eighty-nine",
	"90": "ninety",
	"91": "ninety-one",
	"92": "ninety-two",
	"93": "ninety-three",
	"94": "ninety-four",
	"95": "ninety-five",
	"96": "ninety-six",
	"97": "ninety-seven",
	"98": "ninety-eight",
	"99": "ninety-nine",
	"100": "hundred",
	"1000": "thousand",
	"100000": "lac",
	"10000000": "crore",
	"1000000000": "arab",
	} # English-India
	num_dict["hi"] = {
	"0": "शून्य",
	"1": "एक",
	"2": "दो",
	"3": "तीन",
	"4": "चार",
	"5": "पाँच",
	"6": "छः",
	"7": "सात",
	"8": "आठ",
	"9": "नौ",
	"10": "दस",
	"11": "ग्यारह",
	"12": "बारह",
	"13": "तेरह",
	"14": "चौदह",
	"15": "पंद्रह",
	"16": "सोलह",
	"17": "सत्रह",
	"18": "अट्ठारह",
	"19": "उन्नीस",
	"20": "बीस",
	"21": "इक्कीस",
	"22": "बाईस",
	"23": "तेईस",
	"24": "चौबिस",
	"25": "पच्चीस",
	"26": "छब्बीस",
	"27": "सत्ताईस",
	"28": "अट्ठाईस",
	"29": "उनतीस",
	"30": "तीस",
	"31": "इकतीस",
	"32": "बत्तीस",
	"33": "तैंतीस",
	"34": "चौंतीस",
	"35": "पैंतीस",
	"36": "छत्तीस",
	"37": "सैंतीस",
	"38": "अड़तीस",
	"39": "उनतालीस",
	"40": "चालीस",
	"41": "इकतालीस",
	"42": "बयालीस",
	"43": "तैंतालीस",
	"44": "चौंतालीस",
	"45": "पैंतालीस",
	"46": "छियालीस",
	"47": "सैंतालीस",
	"48": "अड़तालीस",
	"49": "उनचास",
	"50": "पचास",
	"51": "इक्यावन",
	"52": "बावन",
	"53": "तिरेपन",
	"54": "चौवन",
	"55": "पचपन",
	"56": "छप्पन",
	"57": "सत्तावन",
	"58": "अट्ठावन",
	"59": "उनसठ",
	"60": "साठ",
	"61": "इकसठ",
	"62": "बासठ",
	"63": "तिरेसठ",
	"64": "चौंसठ",
	"65": "पैंसठ",
	"66": "छयासठ",
	"67": "सरसठ",
	"68": "अड़सठ",
	"69": "उनहत्तर",
	"70": "सत्तर",
	"71": "इकहत्तर",
	"72": "बहत्तर",
	"73": "तिहत्तर",
	"74": "चौहत्तर",
	"75": "पचहत्तर",
	"76": "छिहत्तर",
	"77": "सतहत्तर",
	"78": "अठहत्तर",
	"79": "उन्यासी",
	"80": "अस्सी",
	"81": "इक्यासी",
	"82": "बयासी",
	"83": "तिरासी",
	"84": "चौरासी",
	"85": "पचासी",
	"86": "छियासी",
	"87": "सत्तासी",
	"88": "अठासी",
	"89": "नवासी",
	"90": "नब्बे",
	"91": "इक्यानवे",
	"92": "बानवे",
	"93": "तिरानवे",
	"94": "चौरानवे",
	"95": "पचानवे",
	"96": "छियानवे",
	"97": "सत्तानवे",
	"98": "अट्ठानवे",
	"99": "निन्यानवे",
	"100": "सौ",
	"1000": "हज़ार",
	"100000": "लाख",
	"10000000": "करोड़",
	"1000000000": "अरब",
	} # Hindi
	num_dict["gu"] = {
	"0": "શૂન્ય",
	"1": "એક",
	"2": "બે",
	"3": "ત્રણ",
	"4": "ચાર",
	"5": "પાંચ",
	"6": "છ",
	"7": "સાત",
	"8": "આઠ",
	"9": "નવ",
	"10": "દસ",
	"11": "અગિયાર",
	"12": "બાર",
	"13": "તેર",
	"14": "ચૌદ",
	"15": "પંદર",
	"16": "સોળ",
	"17": "સત્તર",
	"18": "અઢાર",
	"19": "ઓગણિસ",
	"20": "વીસ",
	"21": "એકવીસ",
	"22": "બાવીસ",
	"23": "તેવીસ",
	"24": "ચોવીસ",
	"25": "પચ્ચીસ",
	"26": "છવીસ",
	"27": "સત્તાવીસ",
	"28": "અઠ્ઠાવીસ",
	"29": "ઓગણત્રીસ",
	"30": "ત્રીસ",
	"31": "એકત્રીસ",
	"32": "બત્રીસ",
	"33": "તેત્રીસ",
	"34": "ચોત્રીસ",
	"35": "પાંત્રીસ",
	"36": "છત્રીસ",
	"37": "સડત્રીસ",
	"38": "અડત્રીસ",
	"39": "ઓગણચાલીસ",
	"40": "ચાલીસ",
	"41": "એકતાલીસ",
	"42": "બેતાલીસ",
	"43": "ત્રેતાલીસ",
	"44": "ચુંમાલીસ",
	"45": "પિસ્તાલીસ",
	"46": "છેતાલીસ",
	"47": "સુડતાલીસ",
	"48": "અડતાલીસ",
	"49": "ઓગણપચાસ",
	"50": "પચાસ",
	"51": "એકાવન",
	"52": "બાવન",
	"53": "ત્રેપન",
	"54": "ચોપન",
	"55": "પંચાવન",
	"56": "છપ્પન",
	"57": "સત્તાવન",
	"58": "અઠ્ઠાવન",
	"59": "ઓગણસાઠ",
	"60": "સાઈઠ",
	"61": "એકસઠ",
	"62": "બાસઠ",
	"63": "ત્રેસઠ",
	"64": "ચોસઠ",
	"65": "પાંસઠ",
	"66": "છાસઠ",
	"67": "સડસઠ",
	"68": "અડસઠ",
	"69": "અગણોસિત્તેર",
	"70": "સિત્તેર",
	"71": "એકોતેર",
	"72": "બોતેર",
	"73": "તોતેર",
	"74": "ચુમોતેર",
	"75": "પંચોતેર",
	"76": "છોતેર",
	"77": "સિત્યોતેર",
	"78": "ઇઠ્યોતેર",
	"79": "ઓગણાએંસી",
	"80": "એંસી",
	"81": "એક્યાસી",
	"82": "બ્યાસી",
	"83": "ત્યાસી",
	"84": "ચોર્યાસી",
	"85": "પંચાસી",
	"86": "છ્યાસી",
	"87": "સિત્યાસી",
	"88": "ઈઠ્યાસી",
	"89": "નેવ્યાસી",
	"90": "નેવું",
	"91": "એકાણું",
	"92": "બાણું",
	"93": "ત્રાણું",
	"94": "ચોરાણું",
	"95": "પંચાણું",
	"96": "છન્નું",
	"97": "સત્તાણું",
	"98": "અઠ્ઠાણું",
	"99": "નવ્વાણું",
	"100": "સો",
	"1000": "હજાર",
	"100000": "લાખ",
	"1000000": "દસ લાખ",
	"10000000": "કરોડ઼",
	} # Gujarati
	num_dict["mr"] = {
	"0": "शून्य",
	"1": "एक",
	"2": "दोन",
	"3": "तीन",
	"4": "चार",
	"5": "पाच",
	"6": "सहा",
	"7": "सात",
	"8": "आठ",
	"9": "नऊ",
	"10": "दहा",
	"11": "अकरा",
	"12": "बारा",
	"13": "तेरा",
	"14": "चौदा",
	"15": "पंधरा",
	"16": "सोळा",
	"17": "सतरा",
	"18": "अठरा",
	"19": "एकोणीस",
	"20": "वीस",
	"21": "एकवीस",
	"22": "बावीस",
	"23": "तेवीस",
	"24": "चोवीस",
	"25": "पंचवीस",
	"26": "सव्वीस",
	"27": "सत्तावीस",
	"28": "अठ्ठावीस",
	"29": "एकोणतीस",
	"30": "तीस",
	"31": "एकतीस",
	"32": "बत्तीस",
	"33": "तेहेतीस",
	"34": "चौतीस",
	"35": "पस्तीस",
	"36": "छत्तीस",
	"37": "सदतीस",
	"38": "अडतीस",
	"39": "एकोणचाळीस",
	"40": "चाळीस",
	"41": "एक्केचाळीस",
	"42": "बेचाळीस",
	"43": "त्रेचाळीस",
	"44": "चव्वेचाळीस",
	"45": "पंचेचाळीस",
	"46": "सेहेचाळीस",
	"47": "सत्तेचाळीस",
	"48": "अठ्ठेचाळीस",
	"49": "एकोणपन्नास",
	"50": "पन्नास",
	"51": "एक्कावन्न",
	"52": "बावन्न",
	"53": "त्रेपन्न",
	"54": "चोपन्न",
	"55": "पंचावन्न",
	"56": "छप्पन्न",
	"57": "सत्तावन्न",
	"58": "अठ्ठावन्न",
	"59": "एकोणसाठ",
	"60": "साठ",
	"61": "एकसष्ठ",
	"62": "बासष्ठ",
	"63": "त्रेसष्ठ",
	"64": "चौसष्ठ",
	"65": "पासष्ठ",
	"66": "सहासष्ठ",
	"67": "सदुसष्ठ",
	"68": "अडुसष्ठ",
	"69": "एकोणसत्तर",
	"70": "सत्तर",
	"71": "एक्काहत्तर",
	"72": "बाहत्तर",
	"73": "त्र्याहत्तर",
	"74": "चौर्‍याहत्तर",
	"75": "पंच्याहत्तर",
	"76": "शहात्तर",
	"77": "सत्याहत्तर",
	"78": "अठ्ठ्याहत्तर",
	"79": "एकोण ऐंशी",
	"80": "ऐंशी",
	"81": "एक्क्याऐंशी",
	"82": "ब्याऐंशी",
	"83": "त्र्याऐंशी",
	"84": "चौऱ्याऐंशी",
	"85": "पंच्याऐंशी",
	"86": "शहाऐंशी",
	"87": "सत्त्याऐंशी",
	"88": "अठ्ठ्याऐंशी",
	"89": "एकोणनव्वद",
	"90": "नव्वद",
	"91": "एक्क्याण्णव",
	"92": "ब्याण्णव",
	"93": "त्र्याण्णव",
	"94": "चौऱ्याण्णव",
	"95": "पंच्याण्णव",
	"96": "शहाण्णव",
	"97": "सत्त्याण्णव",
	"98": "अठ्ठ्याण्णव",
	"99": "नव्व्याण्णव",
	"100": "शे",
	"1000": "हजार",
	"100000": "लाख",
	"10000000": "कोटी",
	"1000000000": "अब्ज",
	} # Marathi
	num_dict["bn"] = {
	"0": "শূন্য",
	"1": "এক",
	"2": "দুই",
	"3": "তিন",
	"4": "চার",
	"5": "পাঁচ",
	"6": "ছয়",
	"7": "সাত",
	"8": "আট",
	"9": "নয়",
	"10": "দশ",
	"11": "এগার",
	"12": "বার",
	"13": "তের",
	"14": "চৌদ্দ",
	"15": "পনের",
	"16": "ষোল",
	"17": "সতের",
	"18": "আঠার",
	"19": "ঊনিশ",
	"20": "বিশ",
	"21": "একুশ",
	"22": "বাইশ",
	"23": "তেইশ",
	"24": "চব্বিশ",
	"25": "পঁচিশ",
	"26": "ছাব্বিশ",
	"27": "সাতাশ",
	"28": "আঠাশ",
	"29": "ঊনত্রিশ",
	"30": "ত্রিশ",
	"31": "একত্রিশ",
	"32": "বত্রিশ",
	"33": "তেত্রিশ",
	"34": "চৌত্রিশ",
	"35": "পঁয়ত্রিশ",
	"36": "ছত্রিশ",
	"37": "সাঁইত্রিশ",
	"38": "আটত্রিশ",
	"39": "ঊনচল্লিশ",
	"40": "চল্লিশ",
	"41": "একচল্লিশ",
	"42": "বিয়াল্লিশ",
	"43": "তেতাল্লিশ",
	"44": "চুয়াল্লিশ",
	"45": "পঁয়তাল্লিশ",
	"46": "ছেচল্লিশ",
	"47": "সাতচল্লিশ",
	"48": "আটচল্লিশ",
	"49": "ঊনপঞ্চাশ",
	"50": "পঞ্চাশ",
	"51": "একান্ন",
	"52": "বায়ান্ন",
	"53": "তিপ্পান্ন",
	"54": "চুয়ান্ন",
	"55": "পঞ্চান্ন",
	"56": "ছাপ্পান্ন",
	"57": "সাতান্ন",
	"58": "আটান্ন",
	"59": "ঊনষাট",
	"60": "ষাট",
	"61": "একষট্টি",
	"62": "বাষট্টি",
	"63": "তেষট্টি",
	"64": "চৌষট্টি",
	"65": "পঁয়ষট্টি",
	"66": "ছেষট্টি",
	"67": "সাতষট্টি",
	"68": "আটষট্টি",
	"69": "ঊনসত্তর",
	"70": "সত্তর",
	"71": "একাত্তর",
	"72": "বাহাত্তর",
	"73": "তিয়াত্তর",
	"74": "চুয়াত্তর",
	"75": "পঁচাত্তর",
	"76": "ছিয়াত্তর",
	"77": "সাতাত্তর",
	"78": "আটাত্তর",
	"79": "ঊনআশি",
	"80": "আশি",
	"81": "একাশি",
	"82": "বিরাশি",
	"83": "তিরাশি",
	"84": "চুরাশি",
	"85": "পঁচাশি",
	"86": "ছিয়াশি",
	"87": "সাতাশি",
	"88": "আটাশি",
	"89": "ঊননব্বই",
	"90": "নব্বই",
	"91": "একানব্বই",
	"92": "বিরানব্বই",
	"93": "তিরানব্বই",
	"94": "চুরানব্বই",
	"95": "পঁচানব্বই",
	"96": "ছিয়ানব্বই",
	"97": "সাতানব্বই",
	"98": "আটানব্বই",
	"99": "নিরানব্বই",
	"100": "শো",
	"1000": "হাজার",
	"100000": "লাখ",
	"10000000": "কোটি",
	"1000000000": "একশ’ কোটি",
	} # Bengali
	num_dict["te"] = {
	"0": "సున్నా",
	"1": "ఒకటి",
	"2": "రెండు",
	"3": "మూడు",
	"4": "నాలుగు",
	"5": "ఐదు",
	"6": "ఆరు",
	"7": "ఏడు",
	"8": "ఎనిమిది",
	"9": "తొమ్మిది",
	"10": "పది",
	"11": "పదకొండు",
	"12": "పన్నెండు",
	"13": "పదమూడు",
	"14": "పద్నాలుగు",
	"15": "పదిహేను",
	"16": "పదహారు",
	"17": "పదిహేడు",
	"18": "పద్దెనిమిది",
	"19": "పందొమ్మిది",
	"20": "ఇరవై",
	"21": "ఇరవై ఒకటి",
	"22": "ఇరవై రెండు",
	"23": "ఇరవై మూడు",
	"24": "ఇరవై నాలుగు",
	"25": "ఇరవై ఐదు",
	"26": "ఇరవై ఆరు",
	"27": "ఇరవై ఏడు",
	"28": "ఇరవై ఎనిమిది",
	"29": "ఇరవై తొమ్మిది",
	"30": "ముప్పై",
	"31": "ముప్పై ఒకటి",
	"32": "ముప్పై రెండు",
	"33": "ముప్పై మూడు",
	"34": "ముప్పై నాలుగు",
	"35": "ముప్పై ఐదు",
	"36": "ముప్పై ఆరు",
	"37": "ముప్పై ఏడు",
	"38": "ముప్పై ఎనిమిది",
	"39": "ముప్పై తొమ్మిది",
	"40": "నలభై",
	"41": "నలభై ఒకటి",
	"42": "నలభై రెండు",
	"43": "నలభై మూడు",
	"44": "నలభై నాలుగు",
	"45": "నలభై ఐదు",
	"46": "నలభై ఆరు",
	"47": "నలభై ఏడు",
	"48": "నలభై ఎనిమిది",
	"49": "నలభై తొమ్మిది",
	"50": "యాభై",
	"51": "యాభై ఒకటి",
	"52": "యాభై రెండు",
	"53": "యాభై మూడు",
	"54": "యాభై నాలుగు",
	"55": "యాభై ఐదు",
	"56": "యాభై ఆరు",
	"57": "యాభై ఏడు",
	"58": "యాభై ఎనిమిది",
	"59": "యాభై తొమ్మిది",
	"60": "అరవై",
	"61": "అరవై ఒకటి",
	"62": "అరవై రెండు",
	"63": "అరవై మూడు",
	"64": "అరవై నాలుగు",
	"65": "అరవై ఐదు",
	"66": "అరవై ఆరు",
	"67": "అరవై ఏడు",
	"68": "అరవై ఎనిమిది",
	"69": "అరవై తొమ్మిది",
	"70": "డెబ్బై",
	"71": "డెబ్బై ఒకటి",
	"72": "డెబ్బై రెండు",
	"73": "డెబ్బై మూడు",
	"74": "డెబ్బై నాలుగు",
	"75": "డెబ్బై ఐదు",
	"76": "డెబ్బై ఆరు",
	"77": "డెబ్బై ఏడు",
	"78": "డెబ్బై ఎనిమిది",
	"79": "డెబ్బై తొమ్మిది",
	"80": "ఎనభై",
	"81": "ఎనభై ఒకటి",
	"82": "ఎనభై రెండు",
	"83": "ఎనభై మూడు",
	"84": "ఎనభై నాలుగు",
	"85": "ఎనభై ఐదు",
	"86": "ఎనభై ఆరు",
	"87": "ఎనభై ఏడు",
	"88": "ఎనభై ఎనిమిది",
	"89": "ఎనభై తొమ్మిది",
	"90": "తొంభై",
	"91": "తొంభై ఒకటి",
	"92": "తొంభై రెండు",
	"93": "తొంభై మూడు",
	"94": "తొంభై నాలుగు",
	"95": "తొంభై ఐదు",
	"96": "తొంభై ఆరు",
	"97": "తొంభై ఏడు",
	"98": "తొంభై ఎనిమిది",
	"99": "తొంభై తొమ్మిది",
	"100": "వందల",
	"1000": "వేల",
	"100000": "లక్షల",
	"10000000": "కోట్ల",
	"1000000000": "బిలియన్",
	} # Telugu
	num_dict["ta"] = {
	"0": "பூஜ்ஜியம்",
	"1": "ஒன்று",
	"2": "இரண்டு",
	"3": "மூன்று",
	"4": "நான்கு",
	"5": "ஐந்து",
	"6": "ஆறு",
	"7": "ஏழு",
	"8": "எட்டு",
	"9": "ஒன்பது",
	"10": "பத்து",
	"11": "பதினொன்று",
	"12": "பன்னிரண்டு",
	"13": "பதிமூன்று",
	"14": "பதினான்கு",
	"15": "பதினைந்து",
	"16": "பதினாறு",
	"17": "பதினேழு",
	"18": "பதினெட்டு",
	"19": "பத்தொன்பது",
	"20": "இருபது",
	"21": "இருபது ஒன்று",
	"22": "இருபத்து இரண்டு",
	"23": "இருபத்து மூன்று",
	"24": "இருபத்து நான்கு",
	"25": "இருபத்து ஐந்து",
	"26": "இருபத்து ஆறு",
	"27": "இருபத்து ஏழு",
	"28": "இருபத்து எட்டு",
	"29": "இருபத்து ஒன்பது",
	"30": "முப்பது",
	"31": "முப்பத்து ஒன்று",
	"32": "முப்பத்து இரண்டு",
	"33": "முப்பத்து மூன்று",
	"34": "முப்பத்து நான்கு",
	"35": "முப்பத்து ஐந்து",
	"36": "முப்பத்து ஆறு",
	"37": "முப்பத்து ஏழு",
	"38": "முப்பத்து எட்டு",
	"39": "முப்பத்து ஒன்பது",
	"40": "நாற்பது",
	"41": "நாற்பத்து ஒன்று",
	"42": "நாற்பத்து இரண்டு",
	"43": "நாற்பத்து மூன்று",
	"44": "நாற்பத்து நான்கு",
	"45": "நாற்பத்து ஐந்து",
	"46": "நாற்பத்து ஆறு",
	"47": " நாற்பத்து ஏழு",
	"48": "நாற்பத்து எட்டு",
	"49": "நாற்பத்து ஒன்பது",
	"50": "ஐம்பது",
	"51": "ஐம்பத்து ஒன்று",
	"52": "ஐம்பத்து இரண்டு",
	"53": "ஐம்பத்து மூன்று",
	"54": "ஐம்பத்து நான்கு",
	"55": "ஐம்பத்து ஐந்து",
	"56": "ஐம்பத்து ஆறு",
	"57": "ஐம்பத்து ஏழு",
	"58": "ஐம்பத்து எட்டு",
	"59": "ஐம்பத்து ஒன்பது",
	"60": "அறுபது",
	"61": "அறுபத்து ஒன்று",
	"62": "அறுபத்து இரண்டு",
	"63": "அறுபத்து மூன்று",
	"64": "அறுபத்து நான்கு",
	"65": "அறுபத்து ஐந்து",
	"66": "அறுபத்து ஆறு",
	"67": "அறுபத்து ஏழு",
	"68": "அறுபத்து எட்டு",
	"69": "அறுபத்து ஒன்பது",
	"70": "எழுபது",
	"71": "எழுபத்தி ஒன்று",
	"72": "எழுபத்தி இரண்டு",
	"73": "எழுபத்தி முச்சக்கர",
	"74": "எழுபத்தி நான்கு",
	"75": "எழுபத்தி ஐந்து",
	"76": "எழுபத்தி ஆறு",
	"77": "எழுபத்தி ஏழு",
	"78": "எழுபத்தி எட்டு",
	"79": "எழுபத்தி ஒன்பது",
	"80": "எண்பது",
	"81": "எண்பத்தியொன்று",
	"82": "எண்பத்திரண்டு",
	"83": "எண்பத்திமூன்று",
	"84": "என்பதினான்கு",
	"85": "என்பதினைந்து",
	"86": "எண்பத்திஆறு",
	"87": "எண்பத்திஏழு",
	"88": "எண்பத்தியெட்டு",
	"89": "எண்பத்தியொன்பது",
	"90": "தொன்னூறு",
	"91": "தொண்ணூற்றியொன்று",
	"92": "தொண்ணூற்றிரண்டு",
	"93": "தொண்ணூற்றிமூன்று",
	"94": "தொண்ணூற்றிநான்கு",
	"95": "தொண்ணூற்றிஐந்து",
	"96": "தொண்ணூற்றியாறு",
	"97": "தொண்ணூற்றியேழு",
	"98": "தொண்ணூற்றியெட்டு",
	"99": "தொண்ணூற்றிஒன்பது",
	"100": "நூறு",
	"1000": "ஆயிரம்",
	"100000": "இலட்சம்",
	"10000000": "கோடி",
	"1000000000": "பில்லியன்",
	} # Tamil
	num_dict["kn"] = {
	"0": "ಸೊನ್ನೆ",
	"1": "ಒಂದು",
	"2": "ಎರಡು",
	"3": "ಮೂರು",
	"4": "ನಾಲ್ಕು",
	"5": "ಅಯ್ದು",
	"6": "ಆರು",
	"7": "ಏಳು",
	"8": "ಎಂಟು",
	"9": "ಒಂಬತ್ತು",
	"10": "ಹತ್ತು",
	"11": "ಹನ್ನೊಂದು",
	"12": "ಹನ್ನೆರಡು",
	"13": "ಹದಿಮೂರು",
	"14": "ಹದಿನಾಲ್ಕು",
	"15": "ಹದಿನೈದು",
	"16": "ಹದಿನಾರು",
	"17": "ಹದಿನೇಳು",
	"18": "ಹದಿನೆಂಟು",
	"19": "ಹತ್ತೊಂಬತ್ತು",
	"20": "ಇಪ್ಪತ್ತು",
	"21": "ಇಪ್ಪತ್ತ್’ಒಂದು",
	"22": "ಇಪ್ಪತ್ತ್’ಎರಡು",
	"23": "ಇಪ್ಪತ್ತ್’ಮೂರು",
	"24": "ಇಪ್ಪತ್ತ್’ನಾಲ್ಕು",
	"25": "ಇಪ್ಪತ್ತ್’ಐದು",
	"26": "ಇಪ್ಪತ್ತ್’ಆರು",
	"27": "ಇಪ್ಪತ್ತ್’ಏಳು",
	"28": "ಇಪ್ಪತ್ತ್’ಎಂಟು",
	"29": "ಇಪ್ಪತ್ತ್’ಒಂಬತ್ತು",
	"30": "ಮೂವತ್ತು",
	"31": "ಮುವತ್ತ್’ಒಂದು",
	"32": "ಮುವತ್ತ್’ಎರಡು",
	"33": "ಮುವತ್ತ್’ಮೂರು",
	"34": "ಮೂವತ್ತ್’ನಾಲ್ಕು",
	"35": "ಮೂವತ್ತ್’ಐದು",
	"36": "ಮೂವತ್ತ್’ಆರು",
	"37": "ಮೂವತ್ತ್’ಏಳು",
	"38": "ಮೂವತ್ತ್’ಎಂಟು",
	"39": "ಮೂವತ್ತ್’ಒಂಬತ್ತು",
	"40": "ನಲವತ್ತು",
	"41": "ನಲವತ್ತೊಂದು",
	"42": "ನಲವತ್ತ್ ಎರಡು",
	"43": "ನಲವತ್ತ್ ಮೂರು",
	"44": "ನಲವತ್ತ್ ನಾಲ್ಕು",
	"45": "ನಲವತ್ತೈದು",
	"46": "ನಲವತ್ತಾರು",
	"47": "ನಲವತ್ತೇಳು",
	"48": "ನಲವತ್ತೆಂಟು",
	"49": "ನಲವತ್ತೊಂಬತ್ತು",
	"50": "ಐವತ್ತು",
	"51": "ಐವತ್ತೊಂದು",
	"52": "ಐವತ್ತೆರಡು",
	"53": "ಐವತ್ತಮೂರು",
	"54": "ಐವತ್ತ್ನಾಲ್ಕು",
	"55": "ಐವತ್ತೈದು",
	"56": "ಐವತ್ತಾರು",
	"57": "ಐವತ್ತೇಳು",
	"58": "ಐವತ್ತೆಂಟು",
	"59": "ಐವತ್ತೊಂಬತ್ತು",
	"60": "ಅರವತ್ತು",
	"61": "ಅರವತ್ತೊಂದು",
	"62": "ಅರವತ್ತೆರಡು",
	"63": "ಅರವತ್ತ್ ಮೂರು",
	"64": "ಅರವತ್ತ್ ನಾಲ್ಕು",
	"65": "ಅರವತ್ತೈದು",
	"66": "ಅರವತ್ತಾರು",
	"67": "ಅರವತ್ತೇಳು",
	"68": "ಅರವತ್ತೆಂಟು",
	"69": "ಅರವತ್ತೊಂಬತ್ತು",
	"70": "ಎಪ್ಪತ್ತು",
	"71": "ಎಪ್ಪತ್ತೊಂದು",
	"72": "ಎಪ್ಪತ್ತೆರಡು",
	"73": "ಎಪ್ಪತ್ತ್ ಮೂರು",
	"74": "ಎಪ್ಪತ್ತ್ ನಾಲ್ಕು",
	"75": "ಎಪ್ಪತ್ತೈದು",
	"76": "ಎಪ್ಪತ್ತಾರು",
	"77": "ಎಪ್ಪತ್ತೇಳು",
	"78": "ಎಪ್ಪತ್ತೆಂಟು",
	"79": "ಎಪ್ಪತ್ತೊಂಬತ್ತು",
	"80": "ಎಂಬತ್ತು",
	"81": "ಎಂಬತ್ತೊಂದು",
	"82": "ಎಂಬತ್ತೆರಡು",
	"83": "ಎಂಬತ್ತ್ ಮೂರು",
	"84": "ಎಂಬತ್ತ್ ನಾಲ್ಕು",
	"85": "ಎಂಬತ್ತೈದು",
	"86": "ಎಂಬತ್ತಾರು",
	"87": "ಎಂಬತ್ತೇಳು",
	"88": "ಎಂಬತ್ತೆಂಟು",
	"89": "ಎಂಬತ್ತೊಂಬತ್ತು",
	"90": "ತೊಂಬತ್ತು",
	"91": "ತೊಂಬತ್ತೊಂದು",
	"92": "ತೊಂಬತ್ತೆರಡು",
	"93": "ತೊಂಬತ್ತ ಮೂರು",
	"94": "ತೊಂಬತ್ತ ನಾಲ್ಕು",
	"95": "ತೊಂಬತ್ತೈದು",
	"96": "ತೊಂಬತ್ತಾರು",
	"97": "ತೊಂಬತ್ತೇಳು",
	"98": "ತೊಂಬತ್ತೆಂಟು",
	"99": "ತೊಂಬತ್ತೊಂಬತ್ತು",
	"100": "ನೂರ",
	"1000": "ಸಾವಿರದ",
	"100000": "ಲಕ್ಷದ",
	"10000000": "ಕೋಟಿ",
	"1000000000": "ಶತಕೋಟಿ",
	} # Kannada
	num_dict["or"] = {
	"0": "ଶୁନ୍ୟ",
	"1": "ଏକ",
	"2": "ଦୁଇ",
	"3": "ତିନି",
	"4": "ଚାରି",
	"5": "ପାଞ୍ଚ",
	"6": "ଛଅ",
	"7": "ସାତ",
	"8": "ଆଠ",
	"9": "ନଅ",
	"10": "ନଅ",
	"11": "ଏଗାର",
	"12": "ବାର",
	"13": "ତେର",
	"14": "ଚଉଦ",
	"15": "ପନ୍ଦର",
	"16": "ଷୋହଳ",
	"17": "ସତର",
	"18": "ଅଠର",
	"19": "ଊଣାଇଶ",
	"20": "କୋଡିଏ",
	"21": "ଏକୋଇଶି",
	"22": "ବାଇଶି",
	"23": "ତେଇଶି",
	"24": "ଚବିଶି",
	"25": "ପଚିଶି",
	"26": "ଛବିଶି",
	"27": "ସତାଇଶି",
	"28": "ଅଠାଇଶି",
	"29": "ଅଣତିରିଶି",
	"30": "ତିରିଶି",
	"31": "ଏକତିରିଶି",
	"32": "ବତିଶି",
	"33": "ତେତିଶି",
	"34": "ଚଉତିରିଶି",
	"35": "ପଞ୍ଚତିରିଶି",
	"36": "ଛତିଶି",
	"37": "ସଂଇତିରିଶି",
	"38": "ଅଠତିରିଶି",
	"39": "ଅଣଚାଳିଶି",
	"40": "ଚାଳିଶି",
	"41": "ଏକଚାଳିଶି",
	"42": "ବୟାଳିଶି",
	"43": "ତେୟାଳିଶି",
	"44": "ଚଉରାଳିଶି",
	"45": "ପଞ୍ଚଚାଳିଶି",
	"46": "ଛୟାଳିଶି",
	"47": "ସତଚାଳିଶି",
	"48": "ଅଠଚାଳିଶି",
	"49": "ଅଣଚାଶ",
	"50": "ପଚାଶ",
	"51": "ଏକାବନ",
	"52": "ବାଉନ",
	"53": "ତେପନ",
	"54": "ଚଉବନ",
	"55": "ପଞ୍ଚାବନ",
	"56": "ଛପନ",
	"57": "ସତାବନ",
	"58": "ଅଠାବନ",
	"59": "ଅଣଷଠି",
	"60": "ଷାଠିଏ",
	"61": "ଏକଷଠି",
	"62": "ବାଷଠି",
	"63": "ତେଷଠି",
	"64": "ଚଉଷଠି",
	"65": "ପଞ୍ଚଷଠି",
	"66": "ଛଅଷଠି",
	"67": "ସତଷଠି",
	"68": "ଅଠଷଠି",
	"69": "ଅଣସ୍ତରୀ",
	"70": "ସତୂରୀ",
	"71": "ଏକସ୍ତରୀ",
	"72": "ବାସ୍ତରୀ",
	"73": "ତେସ୍ତରୀ",
	"74": "ଚଉସ୍ତରୀ",
	"75": "ପଞ୍ଚସ୍ତରୀ",
	"76": "ଛଅସ୍ତରୀ",
	"77": "ସତସ୍ତରୀ",
	"78": "ଅଠସ୍ତରୀ",
	"79": "ଅଣାଅଶୀ",
	"80": "ଅଶୀ",
	"81": "ଏକାଅଶୀ",
	"82": "ବୟାଅଶୀ",
	"83": "ତେୟାଅଶୀ",
	"84": "ଚଉରାଅଶୀ",
	"85": "ପଞ୍ଚାଅଶୀ",
	"86": "ଛୟାଅଶୀ",
	"87": "ସତାଅଶୀ",
	"88": "ଅଠାଅଶୀ",
	"89": "ଅଣାନବେ",
	"90": "ନବେ",
	"91": "ଏକାନବେ",
	"92": "ବୟାନବେ",
	"93": "ତେୟାନବେ",
	"94": "ଚଉରାନବେ",
	"95": "ପଞ୍ଚାନବେ",
	"96": "ଛୟାନବେ",
	"97": "ସତାନବେ",
	"98": "ଅଠାନବେ",
	"99": "ଅନେଶତ",
	"100": "ଶହେ",
	"1000": "ହଜାର",
	"100000": "ଲକ୍ଷ",
	"10000000": "କୋଟି",
	"1000000000": "କୋଟି",
	} # Oriya
	num_dict["pa"] = {
	"0": "ਸਿਫਰ ",
	"1": "ਇੱਕ",
	"2": "ਦੋ",
	"3": "ਤਿੰਨ",
	"4": "ਚਾਰ",
	"5": "ਪੰਜ",
	"6": "ਛੇ",
	"7": "ਸੱਤ",
	"8": "ਅੱਠ",
	"9": "ਨੌਂ",
	"10": "ਦੱਸ",
	"11": "ਗਿਆਰਾਂ",
	"12": "ਬਾਰਾਂ",
	"13": "ਤੇਰਾਂ",
	"14": "ਚੌਦਾਂ",
	"15": "ਪੰਦਰਾਂ",
	"16": "ਸੋਲ਼ਾਂ",
	"17": "ਸਤਾਰਾਂ",
	"18": "ਅਠਾਰਾਂ",
	"19": "ਉਨੀ",
	"20": "ਵੀਹ",
	"21": "ਇੱਕੀ",
	"22": "ਬਾਈ",
	"23": "ਤੇਈ",
	"24": "ਚੌਵੀ",
	"25": "ਪੰਝੀ",
	"26": "ਛੱਬੀ",
	"27": "ਸਤਾਈ",
	"28": "ਅਠਾਈ",
	"29": "ਉਨੱਤੀ",
	"30": "ਤੀਹ",
	"31": "ਇਕੱਤੀ",
	"32": "ਬੱਤੀ",
	"33": "ਤੇਤੀ",
	"34": "ਚੌਂਤੀ",
	"35": "ਪੈਂਤੀ",
	"36": "ਛੱਤੀ",
	"37": "ਸੈਂਤੀ",
	"38": "ਅਠੱਤੀ",
	"39": "ਉਨਤਾਲੀ",
	"40": "ਚਾਲੀ",
	"41": "ਇਕਤਾਲੀ",
	"42": "ਬਤਾਲੀ",
	"43": "ਤਰਤਾਲੀ",
	"44": "ਚੌਤਾਲੀ",
	"45": "ਪੰਜਤਾਲੀ",
	"46": "ਛਿਆਲੀ",
	"47": "ਸੰਤਾਲੀ",
	"48": "ਅੱਠਤਾਲੀ",
	"49": "ਉਣਿੰਜਾ",
	"50": "ਪੰਜਾਹ",
	"51": "ਇਕਵਿੰਜਾ",
	"52": "ਬਵਿੰਜਾ",
	"53": "ਤਰਵਿੰਜਾ",
	"54": "ਚਰਿੰਜਾ",
	"55": "ਪਚਵਿੰਜਾ",
	"56": "ਛਪਿੰਜਾ",
	"57": "ਸਤਵਿੰਜਾ",
	"58": "ਅੱਠਵਿੰਜਾ",
	"59": "ਉਣਾਠ",
	"60": "ਸੱਠ",
	"61": "ਇਕਾਠ",
	"62": "ਬਾਠ੍ਹ",
	"63": "ਤਰੇਠ੍ਹ",
	"64": "ਚੌਠ੍ਹ",
	"65": "ਪੈਂਠ",
	"66": "ਛਿਆਠ",
	"67": "ਸਤਾਹਠ",
	"68": "ਅੱਠਾਠ",
	"69": "ਉਣੱਤਰ",
	"70": "ਸੱਤਰ",
	"71": "ਇਕ੍ਹੱਤਰ",
	"72": "ਬਹੱਤਰ",
	"73": "ਤਹੱਤਰ",
	"74": "ਚੌਹੱਤਰ",
	"75": "ਪੰਜੱਤਰ",
	"76": "ਛਿਹੱਤਰ",
	"77": "ਸਤੱਤਰ",
	"78": "ਅਠੱਤਰ",
	"79": "ਉਣਾਸੀ",
	"80": "ਅੱਸੀ",
	"81": "ਇਕਾਸੀ",
	"82": "ਬਿਆਸੀ",
	"83": "ਤਰਾਸੀ",
	"84": "ਚਰਾਸੀ",
	"85": "ਪੰਜਾਸੀ",
	"86": "ਛਿਆਸੀ",
	"87": "ਸਤਾਸੀ",
	"88": "ਅਠਾਸੀ",
	"89": "ਉਣਾਨਵੇਂ",
	"90": "ਨੱਬੇ",
	"91": "ਇਕਾਨਵੇਂ",
	"92": "ਬਿਆਨਵੇਂ",
	"93": "ਤਰਾਨਵੇਂ",
	"94": "ਚਰਾਨਵੇਂ",
	"95": "ਪਚਾਨਵੇਂ",
	"96": "ਛਿਆਨਵੇਂ",
	"97": "ਸਤਾਨਵੇਂ",
	"98": "ਅਠਾਨਵੇਂ",
	"99": "ਨਿੜਾਨਵੇਂ",
	"100": "ਸੌ",
	"1000": "ਹਜਾਰ",
	"100000": "ਲੱਖ",
	"10000000": "ਕਰੋੜ",
	"1000000000": "ਅਰਬ",
	} # Punjabi

	# --------------------------- num_to_word.py ------------------------------
	"""
	Method to convert Numbers to Words
	for indian languages

	Use cases:-
	1) Speech recognition pre-processing
	2) Language modeling Data pre-processing

	-------------------------
	check indic_numbers.py to add support
	for any indian language
	"""


	def language_specific_exception(words, lang, combiner):
	"""
	Language Specific Exception will come here
	"""

	def occurs_at_end(piece):
	return words[-len(piece) :] == piece

	if lang == "mr":
	words = words.replace("एक" + combiner + "शे", "शंभर")
	elif lang == "gu":
	words = words.replace("બે" + combiner + "સો", "બસ્સો")
	elif lang == "te":
	exception_dict = {
	"1": "ఒక",
	"100": "వంద",
	"100+": "వందలు",
	"1000": "వెయ్యి",
	"1000+": "వేలు",
	"100000": "లక్ష",
	"100000+": "లక్షలు",
	"10000000": "కోటి",
	"10000000+": "కోట్లు",
	}

	test_case = ["100", "1000", "100000", "10000000"]
	for test in test_case:
	test_word = num_dict["te"][test]
	match = num_dict["te"]["1"] + combiner + test_word
	# for numbers like : 100, 1000, 100000
	if words == match:
	return exception_dict[test]
	# for numbers like : 200, 4000, 800000
	elif occurs_at_end(test_word):
	words = words.replace(test_word, exception_dict[test + "+"])
	# for numbers like : 105, 1076, 123993
	elif not occurs_at_end(match):
	replacement = exception_dict["1"] + combiner + exception_dict[test]
	words = words.replace(match, replacement)

	# Exception case for 101...199
	special_case = "ఒక" + combiner + "వంద"
	words = words.replace(special_case, "నూట")
	elif lang == "kn":
	# special case for 100
	if words == ("ಒಂದು" + combiner + "ನೂರ"):
	return "ನೂರು"
	exception_dict = {
	"ನೂರ": "ನೂರು",
	"ಸಾವಿರದ": "ಸಾವಿರ",
	"ಲಕ್ಷದ": "ಲಕ್ಷ",
	"ಕೋಟಿಯ": "ಕೋಟಿ",
	}
	for expt in exception_dict:
	if occurs_at_end(expt):
	words = words.replace(expt, exception_dict[expt])
	return words


	def num_to_word(num, lang, separator=", ", combiner=" "):
	"""
	Main Method
	:param num: Number digits from any indian language
	:param lang: Language Code from supported Language
	:param separator: Separator character i.e. separator = '-' --> 'two hundred-sixty'
	:param combiner: combine number with position i.e. combiner = '-' --> 'two-hundred sixty'
	:return: UTF-8 String of numbers in words
	"""
	lang = lang.lower()
	num = str(num)

	# Load dictionary according to language code
	assert lang in supported_lang, "Language not supported"
	num_dic = num_dict[lang]

	# dash default combiner for english-india
	if (lang == "en") & (combiner == " "):
	combiner = "-"

	# Remove punctuations from numbers
	num = str(num).replace(",", "").replace(" ", "")

	# return word as it is if not number
	if not num.isdecimal():
	return num

	# Replace native language numbers with english digits
	for language in supported_lang:
	for num_index in range(10):
	num = num.replace(all_num[language][num_index], all_num["en"][num_index])

	# Assert that input contains only integer number
	for digit in num:
	assert digit in all_num["en"], "Give proper input"

	# Process
	# For Number longer than 9 digits
	def all_two_digit(digits_2):
	if len(digits_2) <= 1: # Provided only one/zero digit
	return num_dic.get(digits_2, "")
	elif digits_2 == "00": # Two Zero provided
	return num_dic["0"] + separator + num_dic["0"]
	elif digits_2[0] == "0": # First digit is zero
	return num_dic["0"] + separator + num_dic[digits_2[1]]
	else: # Both digit provided
	return num_dic[digits_2]

	# For Number less than 9 digits
	def two_digit(digits_2):
	digits_2 = digits_2.lstrip("0")
	if len(digits_2) != 0:
	return num_dic[digits_2]
	else:
	return ""

	def all_digit(digits):
	digits = digits.lstrip("0")
	digit_len = len(digits)
	if digit_len > 3:
	num_of_digits_to_process = (digit_len % 2) + 1
	process_digits = digits[:num_of_digits_to_process]
	base = str(10 ** (int(digit_len / 2) * 2 - 1))
	remain_digits = digits[num_of_digits_to_process:]
	return (
	num_dic[process_digits]
	+ combiner
	+ num_dic[base]
	+ separator
	+ all_digit(remain_digits)
	)
	elif len(digits) == 3:
	return (
	num_dic[digits[:1]]
	+ combiner
	+ num_dic["100"]
	+ separator
	+ two_digit(digits[1:])
	)
	else:
	return two_digit(digits)

	num = num.lstrip("0")
	full_digit_len = len(num)

	if full_digit_len == 0:
	output = num_dic["0"]
	elif full_digit_len <= 9:
	output = all_digit(num)
	else:
	iteration = round(full_digit_len / 2)
	output = all_two_digit(num[:2]) # First to digit
	for i in range(1, iteration):
	output = (
	output + separator + all_two_digit(num[i * 2 : (i + 1) * 2])
	) # Next two digit pairs
	remaining_digits = num[iteration * 2 :]
	if not all_two_digit(remaining_digits) == "":
	output = (
	output + separator + all_two_digit(remaining_digits)
	) # remaining Last one/two digits

	output = output.strip(separator)

	output = language_specific_exception(output, lang, combiner)

	return output


	# --------------------------------- num_to_word_on_a_sent ---------------------------------


	def is_digit(word, digit_pattern):
	return re.search(digit_pattern, word)


	def remove_punct(sent):
	clean = re.sub("[%s]" % re.escape(string.punctuation), " ", sent)
	return " ".join([word for word in clean.split() if word])


	def normalize_nums(text, lang):
	"""
	text: str (eg)
	lang: lang code ['en', 'hi']

	returns: str
	(eg)
	"""

	if lang in supported_lang:
	text = text.replace('-',' - ') # space separate hyphen
	words = text.split()
	lang_digits = [str(i) for i in range(0, 10)]

	digit_pattern = "[" + "".join(lang_digits) + "]"
	num_indices = [
	ind for ind, word in enumerate(words) if is_digit(word, digit_pattern)
	]

	words_up = [
	num_to_word(word, lang, separator=" ", combiner=" ")
	if ind in num_indices
	else word
	for ind, word in enumerate(words)
	]
	return " ".join(words_up)
	else:
	return text


	if __name__ == "__main__":
	print(normalize_nums("रीटा के पास 16 बिल्लियाँ हैं।", "hi"))