bambara-text-normalizer 1.0.0

Text normalization (TN/ITN) and ASR evaluation framework for Bambara (Bamanankan) language processing

Bambara Text Normalizer

Text Normalization & ASR Evaluation Framework for Bambara (Bamanankan)

Installation • Normalization • ASR Evaluation • Modes • CLI • Linguistics • References

---

Purpose

This tool serves two complementary purposes for Bambara language processing:

Purpose	Description
Text Normalization	Standardize Bambara text for any downstream NLP task (TTS, MT, NER, etc.)
ASR Evaluation	Fair WER/CER computation that accounts for valid orthographic variation

[!NOTE] Bambara orthography allows variation: the same utterance can be written as k'a ta or ka a ta both are correct. Without normalization, evaluation metrics unfairly penalize models for human writing inconsistencies rather than actual recognition errors.

---

Installation

pip install git+https://github.com/sudoping01/bambara-text-normalization.git

---

Text Normalization

from bambara_normalizer import normalize

# Default: expand contractions
normalize("⁠Ne k’a ma ko ayi")           
normalize("⁠K’ale t’a fɛ k’a kɛ")    
normalize("⁠K’i k’i janto i yɛrɛ la")        


# Contract mode: collapse expanded forms
normalize("Ne ko a ma ko ayi", mode="contract")    
normalize("Ko ale tɛ a fɛ ka o kɛ", mode="contract")    
normalize("Ko i ka i janto i yɛrɛ la", mode="contract")    

# Preserve mode: don't touch contractions
normalize("K’i k’i janto i yɛrɛ la", mode="preserve")     

Custom Settings

from bambara_normalizer import normalize

# Full control over normalization
text = normalize(
    "Ka na son k’o k’a la",
    mode="expand",                      # "expand" | "contract" | "preserve"
    preserve_tones=False,               
    normalize_legacy_orthography=True, 
    lowercase=True,                     
    remove_punctuation=False,           
    normalize_whitespace=True,         
    normalize_apostrophes=True,         
    normalize_special_chars=True,    
    expand_dates = False,
    expand_numbers=False,  
    expand_times=False,            
    remove_diacritics_except_tones=False,  
    handle_french_loanwords=True,   
    strip_repetitions=False,       
    normalize_compounds=True, 
)

Using BambaraNormalizer Class

For repeated normalization with consistent settings:

from bambara_normalizer import BambaraNormalizer, BambaraNormalizerConfig


config = BambaraNormalizerConfig(contraction_mode="expand") # change it to "contract" or preserve
normalizer = BambaraNormalizer(config)
normalizer("A y'a fɔ")      
normalizer("k'a la")   

# Contraction mode
config = BambaraNormalizerConfig(contraction_mode="contract")
normalizer = BambaraNormalizer(config)
normalizer("bɛ a fɔ")     
normalizer("ka a ta")     

Predefined Configuration Presets

from bambara_normalizer import BambaraNormalizer, BambaraNormalizerConfig

# For WER evaluation (aggressive normalization, removes tones)
normalizer = BambaraNormalizer(BambaraNormalizerConfig.for_wer_evaluation())

# For WER with contract mode
normalizer = BambaraNormalizer(BambaraNormalizerConfig.for_wer_evaluation(mode="contract"))

# For CER evaluation
normalizer = BambaraNormalizer(BambaraNormalizerConfig.for_cer_evaluation())

# Preserve tone marks
normalizer = BambaraNormalizer(BambaraNormalizerConfig.preserving_tones())

# Minimal normalization (only essential fixes)
normalizer = BambaraNormalizer(BambaraNormalizerConfig.minimal())

---

Number Normalization

The normalizer supports bidirectional number conversion between digits and Bambara words (TN/ITN).

With Normalizer

from bambara_normalizer import normalize

normalize("A ye 100 sɔrɔ", expand_numbers=True)   # => "a ye kɛmɛ sɔrɔ"
normalize("A ye 100 sɔrɔ", expand_numbers=False)  # => "a ye 100 sɔrɔ"

# WER preset has expand_numbers=True by default
normalize("A ye 5 ta", preset="wer")  # => "a ye duuru ta"

Digits to Words (Text Normalization)

from bambara_normalizer import number_to_bambara, normalize_numbers_in_text


number_to_bambara(5)        # => "duuru"
number_to_bambara(123)      # => "kɛmɛ ni mugan ni saba"
number_to_bambara(1000)     # => "waa kelen"
number_to_bambara(5.3)      # => "duuru tomi saba"

# In text
normalize_numbers_in_text("A ye 5 wari di")      # => "A ye duuru wari di"
normalize_numbers_in_text("Mɔgɔ 100 nana")       # => "Mɔgɔ kɛmɛ nana"
normalize_numbers_in_text("N ye shekɛ 1000 sɔrɔ") # => "N ye shekɛ waa kelen sɔrɔ"

Words to Digits (Inverse Text Normalization)

from bambara_normalizer import bambara_to_number, denormalize_numbers_in_text

bambara_to_number("duuru")                    # => 5
bambara_to_number("kɛmɛ ni mugan ni saba")    # => 123
bambara_to_number("duuru tomi saba")          # => 5.3

# In text
denormalize_numbers_in_text("A ye duuru di a ma")  # => "A ye 5 di a ma"
denormalize_numbers_in_text("Mɔgɔ kɛmɛ nana")      # => "Mɔgɔ 100 nana"

Number Vocabulary

Value	Bambara	Value	Bambara
0	fu	10	tan
1	kelen	20	mugan
2	fila	30	bi saba
3	saba	40	bi naani
4	naani	50	bi duuru
5	duuru	100	kɛmɛ
6	wɔɔrɔ	1000	waa
7	wolonwula	1,000,000	miliyɔn
8	seegin	decimal	tomi
9	kɔnɔntɔn	connector	ni

---

---

Date Normalization

The normalizer supports bidirectional date conversion between standard formats and Bambara expressions (TN/ITN).

With Normalizer

from bambara_normalizer import normalize

normalize("A bɛ na 13-10-2024 la", expand_dates=True)   # ==> "a bɛ na oktɔburu tile tan ni saba san Baa fila ni mugan ni naani la"
normalize("A bɛ na 13-10-2024 la", expand_dates=False)  # => "a bɛ na 13-10-2024 la"

# WER preset has expand_dates=True by default
normalize("A bɛ na 25-01-2008 la", preset="wer")  # => "a bɛ na zanwuye tile mugan ni duuru san Baa fila ni seegin la"

Date to Bambara (Text Normalization)

from bambara_normalizer import date_to_bambara, format_date_bambara, normalize_dates_in_text
from datetime import date

# Single dates
date_to_bambara(2024, 10, 13)      # => "Oktɔburu tile tan ni saba san baa fila ni mugan ni naani"
date_to_bambara(2008, 1, 25)       # => "Zanwuye tile mugan ni duuru san baa fila ni seegin"

# With "kalo" (month) included
date_to_bambara(2024, 10, 13, include_kalo=True)  # => "Oktɔburu kalo tile tan ni saba san ..."

# With day of week
date_to_bambara(2024, 10, 13, include_day_of_week=True)  # => "Kari Oktɔburu tile ..." (Sunday)

# From date object or string
format_date_bambara(date(2024, 10, 13))  # => "Oktɔburu tile tan ni saba san ..."
format_date_bambara("13-10-2024")        # => "Oktɔburu tile tan ni saba san ..."

# In text
normalize_dates_in_text("A bɛ na 13-10-2024 la")  # => "A bɛ na Oktɔburu tile tan ni saba san baa fila ni mugan ni naani la"

Bambara to Date (Inverse Text Normalization)

from bambara_normalizer import bambara_to_date

bambara_to_date("Oktɔburu tile tan ni saba san baa fila ni mugan ni naani")
# => datetime.date(2024, 10, 13)

bambara_to_date("Zanwuye tile mugan ni duuru san baa fila ni seegin")
# => datetime.date(2008, 1, 25)

Date Format

Bambara dates follow this structure:

[Month] (kalo) tile [day] san [year]

Example: 13-10-2024 => Oktɔburu tile tan ni saba san baa fila ni mugan ni naani

Literal translation: "October day thirteen year two thousand twenty-four"

Days of the Week

Day	Bambara	Day	Bambara
Monday	Tɛnɛn	Friday	Juma
Tuesday	Tarata	Saturday	Sibiri
Wednesday	Araba	Sunday	Kari
Thursday	Alamisa

Months of the Year

Month	Bambara	Month	Bambara
January	Zanwuye	July	Zuluye
February	Feburuye	August	Uti
March	Marsi	September	Sɛtanburu
April	Awirili	October	Oktɔburu
May	Mɛ	November	Nɔwanburu
June	Zuwen	December	Desanburu

---

Time Normalization

The normalizer supports bidirectional time and duration conversion between standard formats and Bambara expressions (TN/ITN).

With Normalizer

from bambara_normalizer import normalize

normalize("A nana 7:30 la", expand_times=True)   # => "a nana nɛgɛ kaɲɛ wolonwula ni sanga bi saba la"
normalize("A nana 7:30 la", expand_times=False)  # => "a nana 7:30 la"

# WER preset has expand_times=True by default
normalize("A nana 13:50 la", preset="wer")  # => "a nana nɛgɛ kaɲɛ tan ni saba ni sanga bi duuru la"

Clock Time to Bambara (Text Normalization)

from bambara_normalizer import time_to_bambara, format_time_bambara, normalize_times_in_text
from datetime import time

# Clock times
time_to_bambara(1, 0)       # => "Nɛgɛ kaɲɛ kelen"
time_to_bambara(1, 5)       # => "Nɛgɛ kaɲɛ kelen ni sanga duuru"
time_to_bambara(7, 30)      # => "Nɛgɛ kaɲɛ wolonwula  ni sanga bi saba"
time_to_bambara(13, 50)     # => "Nɛgɛ kaɲɛ tan ni saba ni sanga bi duuru"

# From time object or string
format_time_bambara(time(7, 30))  # => "Nɛgɛ kaɲɛ wolonwula ni sanga bi saba"
format_time_bambara("13:50")      # => "Nɛgɛ kaɲɛ tan ni sab ni sanga bi duuru"

# In text
normalize_times_in_text("A nana 7:30 la")  # => "A nana nɛgɛ kaɲɛ wolonwula ni sanga bi saba la"

Bambara to Clock Time (Inverse Text Normalization)

from bambara_normalizer import bambara_to_time

bambara_to_time("Nɛgɛ kaɲɛ kelen")
# => datetime.time(1, 0)

bambara_to_time("Nɛgɛ kaɲɛ wolonwula ni sanga bi saba")
# => datetime.time(7, 30)

Duration to Bambara

from bambara_normalizer import duration_to_bambara, format_duration_bambara

# Durations
duration_to_bambara(minutes=30)                      # => "miniti bi saba"
duration_to_bambara(hours=1, minutes=30)             # => "lɛrɛ kelen ni miniti bi saba"
duration_to_bambara(hours=1, minutes=30, seconds=10) # => "lɛrɛ kelen ni miniti bi saba ni segɔni tan"

# From string format
format_duration_bambara("30min")      # => "miniti bi saba"
format_duration_bambara("1h30min")    # => "lɛrɛ kelen ni miniti bi saba"
format_duration_bambara("1h30min10s") # => "lɛrɛ kelen ni miniti bi saba ni segɔni tan"

Bambara to Duration (Inverse Text Normalization)

from bambara_normalizer import bambara_to_duration

bambara_to_duration("miniti bi saba")
# => (0, 30, 0)  # (hours, minutes, seconds)

bambara_to_duration("lɛrɛ kelen ni miniti bi saba")
# => (1, 30, 0)

bambara_to_duration("lɛrɛ kelen ni miniti bi saba ni segɔni tan")
# => (1, 30, 10)

Time Format

Clock time follows this structure:

Nɛgɛ kaɲɛ [hour] ( ni sanga [minutes])

Example: 7:30 => Nɛgɛ kaɲɛ wolonwula ni sanga bi saba

Literal translation: "Clock needle seven passed with minute thirty"

Duration follows this structure:

(lɛrɛ [hours] ni) (miniti [minutes] ni) (segɔni [seconds])

Example: 1h30min10s => lɛrɛ kelen ni miniti bi saba ni segɔni tan

ASR Evaluation Framework

Quick Evaluation

from bambara_normalizer import evaluate


result = evaluate(
    reference="B'a fɔ ka taa",
    hypothesis="bɛ a fɔ ka taa"

)

print(f"WER: {result.wer:.2%}")  
print(f"CER: {result.cer:.2%}")
print(f"MER: {result.mer:.2%}")

Evaluator with Mode Selection

[!IMPORTANT] The mode parameter determines how contractions are handled during evaluation. This significantly impacts WER scores when reference and hypothesis use different orthographic conventions.

from bambara_normalizer import evaluate


result = evaluate(
    reference="k'a ta", 
    hypothesis="ka a ta"
    mode="expand" # contract | preserve 
    )
print(f"WER: {result.wer:.2%}")   

Flexible Configuration

For full control use the evalution class and define the normalization configuration:

from bambara_normalizer import (
    BambaraNormalizer, 
    BambaraNormalizerConfig, 
    BambaraEvaluator
)

# Define custom normalizer: same then the config we did upside
config = BambaraNormalizerConfig(
    contraction_mode="contract",
    preserve_tones=False,
    lowercase=True,
    remove_punctuation=True,
    normalize_legacy_orthography=True,
)


evaluator = BambaraEvaluator(config=config)


result = evaluator.evaluate(
    reference="K'a fɔ́!",
    hypothesis="ka a fo"
)
print(f"WER: {result.wer:.2%}")

Batch Evaluation

from bambara_normalizer import BambaraEvaluator

evaluator = BambaraEvaluator(mode="contract")

references = ["k'a ta", "b'a fɔ", "n'a ma"]
hypotheses = ["ka a ta", "bɛ a fɔ", "na a ma"]

aggregate, individual = evaluator.evaluate_batch(references, hypotheses)

print(f"Overall WER: {aggregate.wer:.2%}")
for i, result in enumerate(individual):
    print(f"  [{i}] WER: {result.wer:.2%}")

Available Metrics

Metric	Method	Description
WER	evaluator.wer(ref, hyp)	Word Error Rate
CER	evaluator.cer(ref, hyp)	Character Error Rate
MER	evaluator.mer(ref, hyp)	Match Error Rate
WIL	evaluator.wil(ref, hyp)	Word Information Lost
WIP	evaluator.wip(ref, hyp)	Word Information Preserved
DER	result.der	Diacritic Error Rate (tone accuracy)

---

Contraction Modes

[!WARNING] Choosing the right mode is critical for fair ASR evaluation. Using the wrong mode can inflate or deflate WER scores artificially.

Version 2.0 introduces three contraction modes to handle bidirectional Bambara orthography:

Mode	Direction	When to Use
expand	b'a => bɛ a	Default. Full linguistic analysis with k'/n' disambiguation
contract	bɛ a => b'a	Simpler, more forgiving. No disambiguation ambiguity
preserve	No change	Debugging, or when you want raw comparison

Why Contract Mode Matters

Expansion is complex the contraction k' can expand to three different words:

Contraction	Possible Expansions	Meaning
k'a	ka a	infinitive marker
k'a	kɛ a	verb "to do"
k'a	ko a	verb "to say"

The normalizer uses context to disambiguate, but some cases are genuinely ambiguous.

Contraction is simple all variants collapse to the same form:

ka a  ─┐
kɛ a  ─┼─>  k'a
ko a  ─┘

[!TIP] For ASR evaluation, contract mode is more forgiving because it doesn't penalize the model for disambiguation differences when both forms are linguistically valid.

Contraction Mappings

Expanded	Contracted	Function
bɛ + vowel	b'	Affirmative imperfective
tɛ + vowel	t'	Negative imperfective
ye + vowel	y'	Perfective marker
ni + vowel	n'	Conjunction
na + vowel	n'	Verb "come"
ka + vowel	k'	Infinitive marker
kɛ + vowel	k'	Verb "to do"
ko + vowel	k'	Verb "to say"

---

Command Line Interface

Basic Usage

# default mode is expand
bambara-normalize "B'a fɔ́"
# Output: bɛ a fɔ

# Contract mode
bambara-normalize --mode contract "bɛ a fɔ"
# Output: b'a fɔ

# Preserve mode
bambara-normalize --mode preserve "B'a fɔ"
# Output: b'a fɔ

With Presets

# WER preset (aggressive normalization)
bambara-normalize --preset wer "K'a fɔ́!"
# Output: ka a fɔ

# WER preset with contract mode
bambara-normalize --preset wer --mode contract "Ka a fɔ"
# Output: k'a fɔ

# CER preset
bambara-normalize --preset cer "B'a fɔ"

File Evaluation

# Evaluate reference vs hypothesis files
bambara-normalize --evaluate reference.txt hypothesis.txt

# With contract mode
bambara-normalize --evaluate --mode contract ref.txt hyp.txt

# Output detailed metrics
bambara-normalize --evaluate --detailed ref.txt hyp.txt

Batch Processing

# Process file line by line
bambara-normalize --input corpus.txt --output normalized.txt

# With specific mode
bambara-normalize --input corpus.txt --output normalized.txt --mode contract

---

Linguistic Decisions

Why Normalize?

Bambara orthography allows variation. For the same spoken utterance:

• Annotator A writes: k'a ta
• Annotator B writes: ka a ta

Both are correct. Without normalization, we penalize models for human writing inconsistencies, not recognition errors.

n' Disambiguation

Pattern	Expansion	Meaning
n' + pronoun + ma	na	Verb "to come"
n' + other	ni	Conjunction (default)

Examples:

• n'a ma => na a ma (come to him)
• n'a ta => ni a ta (if he takes)

k' Disambiguation Rules

Applied in priority order (derived from Daba grammar):

Priority	Pattern	Result	Example
1	k' + pronoun + ma + X + ye	kɛ	k'a ma hɛrɛ ye => kɛ a ma hɛrɛ ye
2	k' + pronoun + ma + speech marker	ko	k'anw ma ko => ko anw ma ko
3	k' + pronoun + postposition	kɛ	k'a la => kɛ a la
4	k' + pronoun + clause marker	ko	k'an ka ta => ko an ka ta
5	Default	ka	k'a ta => ka a ta

Postpositions: la, na, ye, fɛ, kɔnɔ, kɔ, kɔrɔ, kan, kun, ɲɛ, bolo

Clause markers: ka, kana, bɛ, tɛ, bɛna, tɛna, tun, mana

Legacy Orthography Conversion

Legacy	Modern	Notes
è	ɛ	Pre-standard spelling
ò	ɔ	Pre-standard spelling
ny	ɲ	Digraph => single character
ng	ŋ	Digraph => single character
ñ	ɲ	Spanish/Senegalese variant

---

Known Limitations

Inherent Linguistic Ambiguity

[!CAUTION] Some Bambara constructions are genuinely ambiguous and cannot be resolved without broader context. This is not a bug it reflects real ambiguity in the language.

The ye Problem

The word ye has five grammatical functions:

Function	Example	Meaning
Postposition	à fɔ́ ń yé	say it to me
Perfective	ù ye ɲɔ̀ gòsi	they have beaten
Copula	ò yé kɔ̀nɔ yé	it is a bird
Verb "see"	ka a ye	to see it
Imperative	á' yé nà!	come! (plural)

This creates genuine ambiguity for k'a ye:

Interpretation	Expansion	Meaning
Postposition	kɛ a ye	do it for him
Verb "see"	ka a ye	to see it

Default behavior: The normalizer chooses kɛ a ye (postposition is more frequent).

Solution: Use mode="contract" for ASR evaluation to avoid disambiguation penalties:

evaluator = BambaraEvaluator(mode="contract")
# Both "kɛ a ye" and "ka a ye" => "k'a ye" 

Scope

The normalizer uses local context (1-3 word lookahead). It does not:

• Parse full sentence structure
• Use dictionary/lexicon for POS tagging
• Consider discourse-level context

---

Utility Functions

from bambara_normalizer import (
    is_contraction,
    can_contract,
    find_contractions,
    find_contractable_sequences,
    compare_normalization_modes,
    analyze_text,
    is_bambara_vowel,
    get_tone,
    remove_tones,
    number_to_bambara,
    bambara_to_number,
    normalize_numbers_in_text,
    denormalize_numbers_in_text,
    is_number_word,
    
    bambara_to_date,
    bambara_to_day_of_week,
    bambara_to_month,
    date_to_bambara,
    day_of_week_to_bambara,
    denormalize_dates_in_text,
    format_date_bambara,
    is_bambara_day,
    is_bambara_month,
    month_to_bambara,
    normalize_dates_in_text,

    time_to_bambara,
    bambara_to_time,
    format_time_bambara,
    duration_to_bambara,
    bambara_to_duration,
    format_duration_bambara,
    normalize_times_in_text,
    is_time_word,
)


is_contraction("b'a")                   
is_contraction("bɛ")                     
can_contract("bɛ a")                      

# Find patterns in text
find_contractions("B'a fɔ k'a ta")       # ["b'", "k'"]
find_contractable_sequences("bɛ a fɔ")   # [('bɛ', 'a')]

# Compare modes side-by-side
compare_normalization_modes("b'a fɔ")
# {'original': "b'a fɔ", 'expand': 'bɛ a fɔ', 'contract': "b'a fɔ", 'preserve': "b'a fɔ"}

# Full text analysis
analyze_text("B'a fɔ k'a la")
# {'word_count': 4, 'contractions_found': ["b'", "k'"], 'has_tone_marks': False, ...}

# Tone handling
get_tone("fɔ́")                           # "high"
remove_tones("fɔ́ bɛ̀")                    # "fɔ bɛ"

# Number conversion: digits => Bambara words
number_to_bambara(5)                     # "duuru"
number_to_bambara(23)                    # "mugan ni saba"
number_to_bambara(100)                   # "kɛmɛ"
number_to_bambara(123)                   # "kɛmɛ ni mugan ni saba"
number_to_bambara(1000)                  # "waa kelen"
number_to_bambara(5.3)                   # "duuru tomi saba"

# Number conversion: Bambara words => digits
bambara_to_number("duuru")               # 5
bambara_to_number("mugan ni saba")       # 23
bambara_to_number("kɛmɛ")                # 100
bambara_to_number("waa kelen")           # 1000
bambara_to_number("duuru tomi saba")     # 5.3

# Number normalization in text
normalize_numbers_in_text("A ye 5 di")       # "A ye duuru  di"
normalize_numbers_in_text("Mɔgɔ 100 nana")        # "Mɔgɔ kɛmɛ nana"
normalize_numbers_in_text("A be san 25 bɔ")       # "A be san mugan ni duuru bɔ"

# Inverse: Bambara words => digits in text
denormalize_numbers_in_text("A ye duuru di")  # "A ye 5  di"
denormalize_numbers_in_text("Mɔgɔ kɛmɛ nana")      # "Mɔgɔ 100 nana"

# Check if word is a number word
is_number_word("duuru")                  # True
is_number_word("kɛmɛ")                   # True
is_number_word("fɔ")                     # False


# Date conversion: dates => Bambara
date_to_bambara(2024, 10, 13)            # "Oktɔburu tile tan ni saba san baa fila ni mugan ni naani"
format_date_bambara("13-10-2024")        # Same as above

# Date conversion: Bambara => dates
bambara_to_date("Oktɔburu tile tan ni saba san baa fila ni mugan ni naani")  # datetime.date(2024, 10, 13)

# Day/Month helpers
day_of_week_to_bambara(0)                # "Tɛnɛn" (Monday)
day_of_week_to_bambara(6)                # "Kari" (Sunday)
month_to_bambara(10)                     # "Oktɔburu"
bambara_to_month("Oktɔburu")             # 10

# Date normalization in text
normalize_dates_in_text("A bɛ na 13-10-2024 la")  # "A bɛ na Oktɔburu tile ... la"

# Check if word is date-related
is_bambara_month("Oktɔburu")             # True
is_bambara_day("Juma")                   # True


# Time conversion: clock times → Bambara
time_to_bambara(1, 0)                    # "Nɛgɛ kaɲɛ kelen"
time_to_bambara(7, 30)                   # "Nɛgɛ kaɲɛ wolonwula ni sanga bi saba"
format_time_bambara("13:50")             # "Nɛgɛ kaɲɛ tan ni saba ni sanga bi duuru"

# Time conversion: Bambara → clock times
bambara_to_time("Nɛgɛ kaɲɛ wolonwula ni sanga bi saba")  # datetime.time(7, 30)

# Duration conversion: durations → Bambara
duration_to_bambara(minutes=30)          # "miniti bi saba"
duration_to_bambara(hours=1, minutes=30) # "lɛrɛ kelen ni miniti bi saba"
format_duration_bambara("1h30min10s")    # "lɛrɛ kelen ni miniti bi saba ni segɔni tan"

# Duration conversion: Bambara → durations
bambara_to_duration("lɛrɛ kelen ni miniti bi saba")  # (1, 30, 0)

# Time normalization in text
normalize_times_in_text("A nana 7:30 la")  # "A nana Nɛgɛ kaɲɛ wolonwula ... la"

# Check if word is time-related
is_time_word("lɛrɛ")                      # True
is_time_word("miniti")                    # True
is_time_word("segɔni")                    # True

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Evaluation Metrics

Metric	Description	Range
WER	Word Error Rate	0.0 – ∞
CER	Character Error Rate	0.0 – ∞
MER	Match Error Rate	0.0 – 1.0
WIL	Word Information Lost	0.0 – 1.0
WIP	Word Information Preserved	0.0 – 1.0
DER	Diacritic Error Rate (tone accuracy)	0.0 – ∞

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References

Linguistic Resources

• Bambara Reference Corpus Primary corpus
• Daba Morphological Analyzer Grammar rules
• Bamadaba Dictionary Lexical database
• DNAFLA / AMALAN Bambara standardization body

Standards

• UNESCO Bamako Meeting (1966)
• Niamey African Reference Alphabet (1978)

Tools

• jiwer ASR evaluation metrics

Related Work

• NVIDIA NeMo Text Normalization
• NeMo TN/ITN Documentation

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MALIBA-AI