TwitterCldr uses Unicode's Common Locale Data Repository (CLDR) to format certain types of text into their localized equivalents. Currently supported types of text include dates, times, currencies, decimals, percentages, and symbols.
gem install twitter_cldr
require 'twitter_cldr'
Get a list of all currently supported locales (these are all supported on twitter.com):
TwitterCldr.supported_locales # [:af, :ar, :az, :be, :bg, :bn, ... ]
Determine if a locale is supported by TwitterCLDR:
TwitterCldr.supported_locale?(:es) # true
TwitterCldr.supported_locale?(:xx) # false
TwitterCldr patches core Ruby objects like Integer and Date to make localization as straightforward as possible.
Integer and Float objects are supported (as well as Fixnum and Bignum for Ruby versions < 2.4). Here are some examples:
# default formatting with to_s
1337.localize(:es).to_s # "1.337"
# currencies, default USD
1337.localize(:es).to_currency.to_s # "1.337,00 $"
1337.localize(:es).to_currency.to_s(:currency => "EUR") # "1.337,00 €"
# percentages
1337.localize(:es).to_percent.to_s # "1.337 %"
1337.localize(:es).to_percent.to_s(:precision => 2) # "1.337,00 %"
# decimals
1337.localize(:es).to_decimal.to_s(:precision => 3) # "1.337,000"
Note: The :precision option can be used with all these number formatters.
Behind the scenes, these convenience methods are creating instances of LocalizedNumber. You can do the same thing if you're feeling adventurous:
num = TwitterCldr::Localized::LocalizedNumber.new(1337, :es)
num.to_currency.to_s # ...etc
If you're looking for a list of supported currencies, use the TwitterCldr::Shared::Currencies class:
# all supported currency codes
TwitterCldr::Shared::Currencies.currency_codes # ["ADP", "AED", "AFA", "AFN", ... ]
# data for a specific currency code
TwitterCldr::Shared::Currencies.for_code("CAD") # {:currency=>:CAD, :name=>"Canadian Dollar", :cldr_symbol=>"CA$", :symbol=>"$", :code_points=>[36]}
In addition to formatting regular decimals, TwitterCLDR supports short and long decimals. Short decimals abbreviate the notation for the appropriate power of ten, for example "1M" for 1,000,000 or "2K" for 2,000. Long decimals include the full notation, for example "1 million" or "2 thousand". Long and short decimals can be generated using the appropriate format option:
2337.localize.to_decimal.to_s(format: :short) # "2K"
1337123.localize.to_decimal.to_s(format: :short) # "1M"
2337.localize.to_decimal.to_s(format: :long) # "2 thousand"
1337123.localize.to_decimal.to_s(format: :long) # "1 million"
TwitterCLDR supports formatting numbers with an attached unit, for example "12 degrees Celsius". It's easy to make use of this functionality via the #to_unit method:
12.localize.to_unit.length_mile # "12 miles"
12.localize(:ru).to_unit.length_mile # "12 миль"
Units support a few different forms, long, short, and narrow:
12.localize.to_unit.mass_kilogram(form: :short) # "12 kg"
To get a list of all available unit types, use the #unit_types method:
unit = 12.localize.to_unit
unit.unit_types # => [:length_mile, :temperature_celsius, :mass_kilogram, ...]
TwitterCLDR's rule-based number formatters are capable of transforming integers into their written equivalents. Note that rule-based formatting of decimal numbers is currently not supported for languages other than English.
For easy spellout formatting, check out the LocalizedNumber#spellout method:
123.localize.spellout # one hundred twenty-three
25_641.localize.spellout # twenty-five thousand six hundred forty-one
As always, you can call #localize with a locale symbol:
123.localize(:es).spellout # ciento veintitrés
25_641.localize(:ru).spellout # двадцать пять тысяч шестьсот сорок один
The available rule-based number formats defined by the CLDR data set vary by language. Some languages support ordinal and cardinal numbers, occasionally with an additional masculine/feminine option, while others do not. You'll need to consult the list of available formats for your language.
Rule-based number formats are categorized by groups, and within groups by rulesets. You'll need to specify both to make use of all the available formats for your language.
To get a list of supported groups, use the #group_names method:
123.localize(:pt).rbnf.group_names # ["SpelloutRules", "OrdinalRules"]
To get a list of supported rulesets for a group name, use the #rule_set_names_for_group method:
# ["digits-ordinal-masculine", "digits-ordinal-feminine", "digits-ordinal"]
123.localize(:pt).rbnf.rule_set_names_for_group("OrdinalRules")
Once you've chosen a group and ruleset, you can pass them to the to_rbnf_s method:
123.localize(:pt).to_rbnf_s("OrdinalRules", "digits-ordinal-feminine") # 123a
123.localize(:pt).to_rbnf_s("OrdinalRules", "digits-ordinal-masculine") # 123o
For comparison, here's what English ordinal formatting looks like:
123.localize.to_rbnf_s("OrdinalRules", "digits-ordinal") # 123rd
For English (and other languages), you can also specify an ordinal spellout:
123.localize.to_rbnf_s("SpelloutRules", "spellout-ordinal") # one hundred twenty-third
123.localize(:pt).to_rbnf_s("SpelloutRules", "spellout-ordinal-masculine") # centésimo vigésimo terceiro
Time, and DateTime objects are supported. Date objects are supported transiently:
DateTime.now.localize(:es).to_full_s # "viernes, 14 de febrero de 2014, 12:20:05 (tiempo universal coordinado)"
DateTime.now.localize(:es).to_long_s # "14 de febrero de 2014, 12:20:05 UTC"
DateTime.now.localize(:es).to_medium_s # "14 feb 2014, 12:20:05"
DateTime.now.localize(:es).to_short_s # "14/2/14, 12:20"
Time.now.localize(:es).to_full_s # "12:20:05 (tiempo universal coordinado)"
Time.now.localize(:es).to_long_s # "12:20:05 UTC"
Time.now.localize(:es).to_medium_s # "12:20:05"
Time.now.localize(:es).to_short_s # "12:20"
DateTime.now.localize(:es).to_date.to_full_s # "viernes, 14 de febrero de 2014"
DateTime.now.localize(:es).to_date.to_long_s # "14 de febrero de 2014"
DateTime.now.localize(:es).to_date.to_medium_s # "14 feb 2014"
DateTime.now.localize(:es).to_date.to_short_s # "14/2/14"
The default CLDR data set only includes 4 date formats, full, long, medium, and short. See below for a list of additional formats.
Behind the scenes, these convenience methods are creating instances of LocalizedDate, LocalizedTime, and LocalizedDateTime. You can do the same thing if you're feeling adventurous:
dt = TwitterCldr::Localized::LocalizedDateTime.new(DateTime.now, :es)
dt.to_short_s # ...etc
Besides the default date formats, CLDR supports a number of additional ones. The list of available formats varies for each locale. To get a full list, use the additional_formats method:
# ["Bh", "Bhm", "Bhms", "E", "EBhm", "EBhms", "EEEEd", "EHm", "EHms", "Ed", "Ehm", "Ehms", ... ]
DateTime.now.localize(:ja).additional_formats
You can use any of the returned formats as the argument to the to_additional_s method:
# "14日金曜日"
DateTime.now.localize(:ja).to_additional_s("EEEEd")
It's important to know that, even though any given format may not be available across locales, TwitterCLDR will do it's best to approximate if no exact match can be found.
| Format | Output |
|---|---|
| Bh | 12 in the afternoon |
| Bhm | 12:20 in the afternoon |
| Bhms | 12:20:05 in the afternoon |
| E | Fri |
| EBhm | Fri 12:20 in the afternoon |
| EBhms | Fri 12:20:05 in the afternoon |
| EHm | Fri 12:20 |
| EHms | Fri 12:20:05 |
| Ed | 14 Fri |
| Ehm | Fri 12:20 PM |
| Ehms | Fri 12:20:05 PM |
| Gy | 2014 CE |
| GyMMM | Feb 2014 CE |
| GyMMMEd | Fri, Feb 14, 2014 CE |
| GyMMMd | Feb 14, 2014 CE |
| GyMd | 2/14/2014 CE |
| H | 12 |
| Hm | 12:20 |
| Hms | 12:20:05 |
| Hmsv | 12:20:05 GMT |
| Hmv | 12:20 GMT |
| M | 2 |
| MEd | Fri, 2/14 |
| MMM | Feb |
| MMMEd | Fri, Feb 14 |
| MMMMW | week 3 of February |
| MMMMd | February 14 |
| MMMd | Feb 14 |
| Md | 2/14 |
| d | 14 |
| h | 12 PM |
| hm | 12:20 PM |
| hms | 12:20:05 PM |
| hmsv | 12:20:05 PM GMT |
| hmv | 12:20 PM GMT |
| ms | 20:05 |
| y | 2014 |
| yM | 2/2014 |
| yMEd | Fri, 2/14/2014 |
| yMMM | Feb 2014 |
| yMMMEd | Fri, Feb 14, 2014 |
| yMMMM | February 2014 |
| yMMMd | Feb 14, 2014 |
| yMd | 2/14/2014 |
| yQQQ | Q1 2014 |
| yQQQQ | 1st quarter 2014 |
| yw | week 7 of 2014 |
In addition to formatting full dates and times, TwitterCLDR supports relative time spans via several convenience methods and the LocalizedTimespan class. TwitterCLDR tries to guess the best time unit (eg. days, hours, minutes, etc) based on the length of the time span. Unless otherwise specified, TwitterCLDR will use the current date and time as the reference point for the calculation.
(DateTime.now - 1).localize.ago.to_s # "1 day ago"
(DateTime.now - 0.5).localize.ago.to_s # "12 hours ago" (i.e. half a day)
(DateTime.now + 1).localize.until.to_s # "in 1 day"
(DateTime.now + 0.5).localize.until.to_s # "in 12 hours"
Specify other locales:
(DateTime.now - 1).localize(:de).ago.to_s # "vor 1 Tag"
(DateTime.now + 1).localize(:de).until.to_s # "in 1 Tag"
Force TwitterCLDR to use a specific time unit by including the :unit option:
(DateTime.now - 1).localize(:de).ago.to_s(:unit => :hour) # "vor 24 Stunden"
(DateTime.now + 1).localize(:de).until.to_s(:unit => :hour) # "in 24 Stunden"
Specify a different reference point for the time span calculation:
# 86400 = 1 day in seconds, 259200 = 3 days in seconds
(Time.now + 86400).localize(:de).ago(:base_time => (Time.now + 259200)).to_s(:unit => :hour) # "vor 48 Stunden"
Behind the scenes, these convenience methods are creating instances of LocalizedTimespan, whose constructor accepts a number of seconds as the first argument. You can do the same thing if you're feeling adventurous:
ts = TwitterCldr::Localized::LocalizedTimespan.new(86400, :locale => :de)
ts.to_s # "in 1 Tag"
ts.to_s(:unit => :hour) # "in 24 Stunden"
ts = TwitterCldr::Localized::LocalizedTimespan.new(-86400, :locale => :de)
ts.to_s # "vor 1 Tag"
ts.to_s(:unit => :hour) # "vor 24 Stunden"
By default, timespans are exact representations of a given unit of elapsed time. TwitterCLDR also supports approximate timespans which round up to the nearest larger unit. For example, "44 seconds" remains "44 seconds" while "45 seconds" becomes "1 minute". To approximate, pass the :approximate => true option into to_s:
TwitterCldr::Localized::LocalizedTimespan.new(44).to_s(:approximate => true) # "in 44 seconds"
TwitterCldr::Localized::LocalizedTimespan.new(45).to_s(:approximate => true) # "in 1 minute"
TwitterCldr::Localized::LocalizedTimespan.new(52).to_s(:approximate => true) # "in 1 minute"
Timezones can be specified for any instance of LocalizedTime, LocalizedDate, or LocalizedDateTime via the with_timezone function:
# "lunes, 4 de noviembre de 2019, 16:00:00 (hora estándar del Pacífico)"
DateTime.new(2019, 11, 5).localize(:es).with_timezone('America/Los_Angeles').to_full_s
Any IANA timezone can be used provided it is available via the tzinfo gem. TZInfo references any timezone data available on your system, but will use the data encapsulated in the tzinfo-data gem if it is bundled with your application. If you're seeing discrepancies between, for example, production and development environments, consider bundling tzinfo-data.
In addition to including timezones in formatted dates and times, TwitterCLDR provides access to timezone formats via the TwitterCldr::Timezones::Timezone object.
Timezone objects are specified via a combination of timezone ID and locale:
tz = TwitterCldr::Timezones::Timezone.instance('Australia/Brisbane', :en)
A list of available timezone formats can be retrieved like so:
TwitterCldr::Timezones::Timezone::ALL_FORMATS
Format a timezone by calling the #display_name_for method:
# "Brisbane Time"
tz.display_name_for(DateTime.new(2019, 11, 5), :generic_location)
# "Australian Eastern Standard Time"
tz.display_name_for(DateTime.new(2019, 11, 5), :generic_long)
#display_name_for also accepts arguments for resolving ambiguous times. See TZInfo Documentation for more information.
CLDR contains a trove of calendar data, much of which can be accessed. One example is names of months, days, years.
TwitterCldr::Shared::Calendar.new(:sv).months.take(3) # ["januari", "februari", "mars"]
TwitterCLDR supports formatting lists of strings as you might do in English by using commas, eg: "Apples, cherries, and oranges". Use the localize method on an array followed by a call to to_sentence:
["apples", "cherries", "oranges"].localize.to_sentence # "apples, cherries, and oranges"
["apples", "cherries", "oranges"].localize(:es).to_sentence # "apples, cherries y oranges"
Behind the scenes, these convenience methods are creating instances of ListFormatter. You can do the same thing if you're feeling adventurous:
f = TwitterCldr::Formatters::ListFormatter.new(:en)
f.format(["Larry", "Curly", "Moe"]) # "Larry, Curly, and Moe"
f = TwitterCldr::Formatters::ListFormatter.new(:es)
f.format(["Larry", "Curly", "Moe"]) # "Larry, Curly y Moe"
The TwitterCLDR ListFormatter class is smart enough to handle right-to-left (RTL) text and will format the list "backwards" in these cases (note that what looks backwards to English speakers looks frontwards for RTL speakers). See the section on handling bidirectional text below for more information.
Some languages, like English, have "countable" nouns. You probably know this concept better as "plural" and "singular", i.e. the difference between "strawberry" and "strawberries". Other languages, like Russian, have three plural forms: one (numbers ending in 1), few (numbers ending in 2, 3, or 4), and many (everything else). Still other languages like Japanese don't use countable nouns at all.
TwitterCLDR makes it easy to find the plural rules for any numeric value:
1.localize(:ru).plural_rule # :one
2.localize(:ru).plural_rule # :few
5.localize(:ru).plural_rule # :many
10.0.localize(:ru).plural_rule # :other
Behind the scenes, these convenience methods use the TwitterCldr::Formatters::Plurals::Rules class. You can do the same thing (and a bit more) if you're feeling adventurous:
# get all rules for the default locale
TwitterCldr::Formatters::Plurals::Rules.all # [:one, :other]
# get all rules for a specific locale
TwitterCldr::Formatters::Plurals::Rules.all_for(:es) # [:one, :many, :other]
TwitterCldr::Formatters::Plurals::Rules.all_for(:ru) # [:one, :few, :many, :other]
# get the rule for a number in a specific locale
TwitterCldr::Formatters::Plurals::Rules.rule_for(1, :ru) # :one
TwitterCldr::Formatters::Plurals::Rules.rule_for(2, :ru) # :few
In addition to providing access to plural rules, TwitterCLDR allows you to embed plurals directly in your source code:
replacements = {
:horse_count => 3,
:horses => {
:one => "is 1 horse",
:other => "are %{horse_count} horses"
}
}
# "there are 3 horses in the barn"
"there %{horse_count:horses} in the barn".localize % replacements
Because providing a pluralization hash with the correct plural rules can be difficult, you can also embed plurals as a JSON hash into your string:
str = 'there %<{ "horse_count": { "one": "is one horse", "other": "are %{horse_count} horses" } }> in the barn'
# "there are 3 horses in the barn"
str.localize % { :horse_count => 3 }
NOTE: If you're using TwitterCLDR with Rails 3, you may see an error if you try to use the % function on a localized string in your views. Strings in views in Rails 3 are instances of SafeBuffer, which patches the gsub method that the TwitterCLDR plural formatter relies on. To fix this issue, simply call to_str on any SafeBuffer before calling localize. More info here. An example:
# throws an error in Rails 3 views:
'%<{"count": {"one": "only one", "other": "tons more!"}}'.localize % { :count => 2 }
# works just fine:
'%<{"count": {"one": "only one", "other": "tons more!"}}'.to_str.localize % { :count => 2 }
The LocalizedString class supports all forms of interpolation:
# Ruby
"five euros plus %.3f in tax" % (13.25 * 0.087)
"there are %{count} horses in the barn" % { :count => "5" }
# with TwitterCLDR
"five euros plus %.3f in tax".localize % (13.25 * 0.087)
"there are %{count} horses in the barn".localize % { :count => "5" }
When you pass a Hash as an argument and specify placeholders with %<foo>d, TwitterCLDR will interpret the hash values as named arguments and format the string according to the instructions appended to the closing >:
"five euros plus %<percent>.3f in %{noun}".localize % { :percent => 13.25 * 0.087, :noun => "tax" }
You can use the localize convenience method on language code symbols to get their equivalents in another language:
:es.localize(:es).as_language_code # "español"
:ru.localize(:es).as_language_code # "ruso"
Behind the scenes, these convenience methods are creating instances of LocalizedSymbol. You can do the same thing if you're feeling adventurous:
ls = TwitterCldr::Localized::LocalizedSymbol.new(:ru, :es)
ls.as_language_code # "ruso"
In addition to translating language codes, TwitterCLDR provides access to the full set of supported languages via the TwitterCldr::Shared::Languages class:
# get all languages for the default locale
TwitterCldr::Shared::Languages.all # { ... :vi => "Vietnamese", :"zh-Hant" => "Traditional Chinese" ... }
# get all languages for a specific locale
TwitterCldr::Shared::Languages.all_for(:es) # { ... :vi => "vietnamita", :"zh-Hant" => "chino tradicional" ... }
# get a language by its code for the default locale
TwitterCldr::Shared::Languages.from_code(:'zh-Hant') # "Traditional Chinese"
# get a language from its code for a specific locale
TwitterCldr::Shared::Languages.from_code_for_locale(:'zh-Hant', :es) # "chino tradicional"
# translate a language from one locale to another
# signature: translate_language(lang, source_locale, destination_locale)
TwitterCldr::Shared::Languages.translate_language("chino tradicional", :es, :en) # "Traditional Chinese"
TwitterCldr::Shared::Languages.translate_language("Traditional Chinese", :en, :es) # "chino tradicional"
You can use the localize convenience method on territory code symbols to get their equivalents in another language:
:gb.localize(:pt).as_territory # "Reino Unido"
:cz.localize(:pt).as_territory # "Tchéquia"
Behind the scenes, these convenience methods are creating instances of LocalizedSymbol. You can do the same thing if you're feeling adventurous:
ls = TwitterCldr::Localized::LocalizedSymbol.new(:gb, :pt)
ls.as_territory # "Reino Unido"
In addition to translating territory codes, TwitterCLDR provides access to the full set of supported methods via the TwitterCldr::Shared::Territories class:
# get all territories for the default locale
TwitterCldr::Shared::Territories.all # { ... :tl => "Timor-Leste", :tm => "Turkmenistan" ... }
# get all territories for a specific locale
TwitterCldr::Shared::Territories.all_for(:pt) # { ... :tl => "Timor-Leste", :tm => "Turcomenistão" ... }
# get a territory by its code for the default locale
TwitterCldr::Shared::Territories.from_territory_code(:'gb') # "United Kingdom"
# get a territory from its code for a specific locale
TwitterCldr::Shared::Territories.from_territory_code_for_locale(:gb, :pt) # "Reino Unido"
# translate a territory from one locale to another
# signature: translate_territory(territory_name, source_locale, destination_locale)
TwitterCldr::Shared::Territories.translate_territory("Reino Unido", :pt, :en) # "United Kingdom"
TwitterCldr::Shared::Territories.translate_territory("U.K.", :en, :pt) # "Reino Unido"
The CLDR contains postal code validation regexes for a number of countries.
# United States
postal_code = TwitterCldr::Shared::PostalCodes.for_territory(:us)
postal_code.valid?("94103") # true
postal_code.valid?("9410") # false
# England (Great Britain)
postal_code = TwitterCldr::Shared::PostalCodes.for_territory(:gb)
postal_code.valid?("BS98 1TL") # true
# Sweden
postal_code = TwitterCldr::Shared::PostalCodes.for_territory(:se)
postal_code.valid?("280 12") # true
# Canada
postal_code = TwitterCldr::Shared::PostalCodes.for_territory(:ca)
postal_code.valid?("V3H 1Z7") # true
Match all valid postal codes in a string with the #find_all method:
# United States
postal_code = TwitterCldr::Shared::PostalCodes.for_territory(:us)
postal_code.find_all("12345 23456") # ["12345", "23456"]
Get a list of supported territories by using the #territories method:
TwitterCldr::Shared::PostalCodes.territories # [:ac, :ad, :af, :ai, :al, ... ]
Just want the regex? No problem:
postal_code = TwitterCldr::Shared::PostalCodes.for_territory(:us)
postal_code.regexp # /(\d{5})(?:[ \-](\d{4}))?/
Get a sample of valid postal codes with the #sample method:
postal_code.sample(5) # ["72959-4813", "81226", "05936-9185", "71858-7042", "20325-0737"]
Telephone codes were deprecated and have now been removed from the CLDR data set. They have been removed from TwitterCLDR as of v5.0.0.
Over the years, different standards for language codes have accumulated. Probably the two most popular are ISO-639 and BCP-47 and their children. TwitterCLDR provides a way to convert between these codes programmatically.
TwitterCldr::Shared::LanguageCodes.convert(:es, :from => :bcp_47, :to => :iso_639_2) # :spa
Use the standards_for method to get the standards that are available for conversion from a given code. In the example below, note that the first argument, :es, is the correct BCP-47 language code for Spanish, which is the second argument. The return value comprises all the available conversions:
# [:bcp_47, :iso_639_1, :iso_639_2, :iso_639_3]
TwitterCldr::Shared::LanguageCodes.standards_for(:es, :bcp_47)
Get a list of supported standards for a full English language name:
# [:bcp_47, :iso_639_1, :iso_639_2, :iso_639_3]
TwitterCldr::Shared::LanguageCodes.standards_for_language(:Spanish)
Get a list of supported languages:
TwitterCldr::Shared::LanguageCodes.languages # [:Arabic, :German, :Norwegian, :Spanish, ... ]
Determine valid standards:
TwitterCldr::Shared::LanguageCodes.valid_standard?(:iso_639_1) # true
TwitterCldr::Shared::LanguageCodes.valid_standard?(:blarg) # false
Determine valid codes:
TwitterCldr::Shared::LanguageCodes.valid_code?(:es, :bcp_47) # true
TwitterCldr::Shared::LanguageCodes.valid_code?(:es, :iso_639_2) # false
Convert the full English name of a language into a language code:
TwitterCldr::Shared::LanguageCodes.from_language(:Spanish, :iso_639_2) # :spa
Convert a language code into it's full English name:
TwitterCldr::Shared::LanguageCodes.to_language(:spa, :iso_639_2) # "Spanish"
NOTE: All of the functions in TwitterCldr::Shared::LanguageCodes accept both symbol and string parameters.
Provides an API for determining territories containment as described here:
TwitterCldr::Shared::TerritoriesContainment.children('151') # ["BG", "BY", "CZ", "HU", "MD", "PL", "RO", "RU", "SK", "SU", "UA", ... ]
TwitterCldr::Shared::TerritoriesContainment.children('RU') # []
TwitterCldr::Shared::TerritoriesContainment.parents('013') # ["003", "019", "419"]
TwitterCldr::Shared::TerritoriesContainment.parents('001') # []
TwitterCldr::Shared::TerritoriesContainment.contains?('151', 'RU') # true
TwitterCldr::Shared::TerritoriesContainment.contains?('419', 'BZ') # true
TwitterCldr::Shared::TerritoriesContainment.contains?('419', 'FR') # false
You can also use Territory class and to_territory method in LocalizedString class to access these features:
TwitterCldr::Shared::Territory.new("013").parents # ["003", "019", "419"]
'419'.localize.to_territory.contains?('BZ') # true
Unicode regular expressions are an extension of the normal regular expression syntax. All of the changes are local to the regex's character class feature and provide support for multi-character strings, Unicode character escapes, set operations (unions, intersections, and differences), and character sets.
Here's a complete list of the operations you can do inside a Unicode regex's character class.
| Regex | Description |
|---|---|
[a] | The set containing 'a'. |
[a-z] | The set containing 'a' through 'z' and all letters in between, in Unicode order. |
[^a-z] | The set containing all characters except 'a' through 'z', that is, U+0000 through 'a'-1 and 'z'+1 through U+10FFFF. |
[[pat1][pat2]] | The union of sets specified by pat1 and pat2. |
[[pat1]&[pat2]] | The intersection of sets specified by pat1 and pat2. |
[[pat1]-[pat2]] | The symmetric difference of sets specified by pat1 and pat2. |
[:Lu:] or \p{Lu} | The set of characters having the specified Unicode property; in this case, Unicode uppercase letters. |
[:^Lu:] or \P{Lu} | The set of characters not having the given Unicode property. |
For a description of available Unicode properties, see Wikipedia (click on "[show]").
Create Unicode regular expressions via the #compile method:
regex = TwitterCldr::Shared::UnicodeRegex.compile("[:Lu:]+")
Once compiled, instances of UnicodeRegex behave just like normal Ruby regexes and support the #match and #=~ methods:
regex.match("ABC") # <MatchData "ABC">
regex =~ "fooABC" # 3
Protip: Try to avoid negation in character classes (eg. [^abc] and \P{Lu}) as it tends to negatively affect both performance when constructing regexes as well as matching.
TwitterCLDR currently supports text segmentation by sentence as described in the Unicode Technical Report #29. The segmentation algorithm makes use of Unicode regular expressions (described above). Segmentation by word, line, and grapheme boundaries could also be supported if someone wants them.
You can break a string into sentences using the LocalizedString#each_sentence method:
"The. Quick. Brown. Fox.".localize.each_sentence do |sentence|
puts sentence.to_s # "The. ", "Quick. ", "Brown. ", "Fox."
end
Under the hood, text segmentation is performed by the BreakIterator class (name borrowed from ICU). You can use it directly if you're feeling adventurous:
iterator = TwitterCldr::Segmentation::BreakIterator.new(:en)
iterator.each_sentence("The. Quick. Brown. Fox.") do |sentence|
puts sentence # "The. ", "Quick. ", "Brown. ", "Fox."
end
To improve segmentation accuracy, a list of special segmentation exceptions have been created by the ULI (Unicode Interoperability Technical Committee, yikes what a mouthful). They help with special cases like the abbreviations "Mr." and "Ms." where breaks should not occur. ULI rules are disabled by default, but you can enable them via the :use_uli_exceptions option:
iterator = TwitterCldr::Segmentation::BreakIterator.new(:en, :use_uli_exceptions => true)
iterator.each_sentence("I like Ms. Murphy, she's nice.") do |sentence|
puts sentence # "I like Ms. Murphy, she's nice."
end
TwitterCLDR provides ways to retrieve individual code points as well as normalize and decompose Unicode text.
Retrieve data for code points:
code_point = TwitterCldr::Shared::CodePoint.get(0x1F3E9)
code_point.name # "LOVE HOTEL"
code_point.bidi_mirrored # "N"
code_point.category # "So"
code_point.combining_class # "0"
Convert characters to code points:
TwitterCldr::Utils::CodePoints.from_string("¿") # [191]
Convert code points to characters:
TwitterCldr::Utils::CodePoints.to_string([0xBF]) # "¿"
Each character in the Unicode standard comes with a set of properties. Property data includes what type of script the character is written in, which version of the standard it was first introduced in, whether it represent a digit or an alphabetical symbol, its casing, and much more. Certain properties are boolean true/false values while others contain a set of property values. For example, the Hiragana letter "く" ("ku") has an "Alphabetic" property (i.e. Alphabetic = true) but does not have an "Uppercase" property (i.e. Uppercase = false). In addition, "く" has a property of "Script" with a property value for "Script" of ["Hiragana"] (Note that property values are always arrays, since a single property can contain more than one property value).
TwitterCLDR supports all the various Unicode properties and can look them up by character or retrieve a set of matching characters for the given property and property value. Let's use "く" again as an example. "く"'s Unicode code point is 12367 (i.e. 'く'.unpack("U*").first):
properties = TwitterCldr::Shared::CodePoint.get(12367).properties
properties.alphabetic # true
properties.uppercase # false
properties.script.to_a # ["Hiragana"]
Use TwitterCldr::Shared::CodePoint.properties to look up additional property information:
properties = TwitterCldr::Shared::CodePoint.properties.code_points_for_property('Script', 'Hiragana')
properties.to_a # [12353..12438, 12445..12447 ... ]
Behind the scenes, these methods are using instances of TwitterCldr::Shared::PropertiesDatabase. Most of the time you probably won't need to use your own instance, but it is worth mentioning that PropertiesDatabase supplies methods for retrieving a list of available property names and normalizing property names and values. Finally, TwitterCldr::Shared::CodePoint.properties is an instance of PropertiesDatabase that you can use in place of creating a separate instance.
Normalize/decompose a Unicode string (NFD, NFKD, NFC, and NFKC implementations available). Note that the normalized string will almost always look the same as the original string because most character display systems automatically combine decomposed characters.
TwitterCldr::Normalization.normalize("français") # "français"
Normalization is easier to see in hex:
# [101, 115, 112, 97, 241, 111, 108]
TwitterCldr::Utils::CodePoints.from_string("español")
# [101, 115, 112, 97, 110, 771, 111, 108]
TwitterCldr::Utils::CodePoints.from_string(TwitterCldr::Normalization.normalize("español"))
Notice in the example above that the letter "ñ" was transformed from 241 to 110 771, which represent the "n" and the "˜" respectively.
A few convenience methods also exist for String that make it easy to normalize and get code points for strings:
# [101, 115, 112, 97, 241, 111, 108]
"español".localize.code_points
# [101, 115, 112, 97, 110, 771, 111, 108]
"español".localize.normalize.code_points
Specify a specific normalization algorithm via the :using option. NFD, NFKD, NFC, and NFKC algorithms are all supported (default is NFD):
# [101, 115, 112, 97, 110, 771, 111, 108]
"español".localize.normalize(:using => :NFKD).code_points
Casefolding is, generally speaking, the process of converting uppercase characters to lowercase ones so as to make text uniform and therefore easier to search. The canonical example of this is the German double "s". The "ß" character is transformed into "ss" by casefolding.
"Hello, World".localize.casefold.to_s # hello, world
"Weißrussland".localize.casefold.to_s # weissrussland
Turkic languages make use of the regular and dotted uppercase i characters "I" and "İ". Normal casefolding will convert a dotless uppercase "I" to a lowercase, dotted "i", which is correct in English. Turkic languages however expect the lowercase version of a dotless uppercase "I" to be a lowercase, dotless "ı". Pass the :t option to the casefold method to force Turkic treatment of "i" characters. By default, the :t option is set to true for Turkish and Azerbaijani:
"Istanbul".localize.casefold(:t => true).to_s # ıstanbul
"Istanbul".localize(:tr).casefold.to_s # ıstanbul
TwitterCLDR uses data from the LibreOffice project to offer an implementation of Franklin Liang's hyphenation algorithm. Try the #hyphenate method on instances of LocalizedString:
'foolhardy undulate'.localize.hyphenate('-').to_s # fool-hardy un-du-late
Since the data doesn't come packaged with CLDR, only a certain subset of locales are supported. To get a list of supported locales, use the supported_locales method:
TwitterCldr::Shared::Hyphenator.supported_locales # ["af-ZA", "de-CH", "en-US", ...]
You can also ask the Hyphenator class if a locale is supported:
TwitterCldr::Shared::Hyphenator.supported_locale?(:en) # true
TwitterCldr::Shared::Hyphenator.supported_locale?(:ja) # false
Create a new hyphenator instance via the .get method. If the locale is not supported, .get will raise an error.
hyphenator = TwitterCldr::Shared::Hyphenator.get(:en)
hyphenator.hyphenate('absolutely', '-') # ab-so-lutely
The .get method will identify the best rule set to use by "maximizing" the given locale, a process that tries different combinations of the locale's language, region, and script based on CLDR's likely subtag data. In practice this means passing in :en works even though the hyphenator specifically supports en-US and en-GB.
The second argument to #hyphenate is the delimiter to use, i.e. the hyphen text to insert at syllable boundaries. By default, the delimiter is the Unicode soft hyphen character (\u00AD). Depending on the system that's used to display the hyphenated text (word processor, browser, etc), the soft hyphen may render differently. Soft hyphens are supposed to be rendered only when the word needs to be displayed on multiple lines, and should be invisible otherwise.
TwitterCLDR contains an implementation of the Unicode Collation Algorithm (UCA) that provides language-sensitive text sorting capabilities. Conveniently, all you have to do is use the sort method in combination with the familiar localize method. Notice the difference between the default Ruby sort, which simply compares bytes, and the proper language-aware sort from TwitterCLDR in this German example:
["Art", "Wasa", "Älg", "Ved"].sort # ["Art", "Ved", "Wasa", "Älg"]
["Art", "Wasa", "Älg", "Ved"].localize(:de).sort.to_a # ["Älg", "Art", "Ved", "Wasa"]
Behind the scenes, these convenience methods are creating instances of LocalizedArray, then using the TwitterCldr::Collation::Collator class to sort the elements:
collator = TwitterCldr::Collation::Collator.new(:de)
collator.sort(["Art", "Wasa", "Älg", "Ved"]) # ["Älg", "Art", "Ved", "Wasa"]
collator.sort!(["Art", "Wasa", "Älg", "Ved"]) # ["Älg", "Art", "Ved", "Wasa"]
The TwitterCldr::Collation::Collator class also provides methods to compare two strings, get sort keys, and calculate collation elements for individual strings:
collator = TwitterCldr::Collation::Collator.new(:de)
collator.compare("Art", "Älg") # 1
collator.compare("Älg", "Art") # -1
collator.compare("Art", "Art") # 0
collator.get_collation_elements("Älg") # [[39, 5, 143], [0, 157, 5], [61, 5, 5], [51, 5, 5]]
collator.get_sort_key("Älg") # [39, 61, 51, 1, 134, 157, 6, 1, 143, 7]
Note: The TwitterCLDR collator does not currently pass all the collation tests provided by Unicode, but for some strange reasons. See the summary of these discrepancies if you're curious.
Transliteration is the process of converting the text in one language or script into another with the goal of preserving the source language's pronunciation as much as possible. It can be useful in making text pronounceable in the target language. For example, most native English speakers would not be able to read or pronounce Japanese characters like these: "くろねこさま". Transliterating these characters into Latin script yields "kuronekosama", which should be pronounceable by most English speakers (in fact, probably speakers of many languages that use Latin characters). Remember, transliteration isn't translation; the actual meaning of the words is not taken into consideration, only the sound patterns.
TwitterCLDR supports transliteration via the #transliterate_into method on LocalizedString. For example:
"くろねこさま".localize.transliterate_into(:en) # "kuronekosama"
This simple method hides quite a bit of complexity. First, TwitterCLDR identifies the scripts present in the source text. It then attempts to find any available transliterators to convert between the source language and the target language. If more than one transliterator is found, all of them will be applied to the source text.
You can provide hints to the transliterator by providing additional locale information. For example, you can provide a source and target script:
"くろねこさま".localize(:ja_Hiragana).transliterate_into(:en_Latin) # "kuronekosama"
You may supply only the target script, only the source script, neither, or both. TwitterCLDR will try to find the best set of transliterators to get the job done.
Behind the scenes, LocalizedString#transliterate_into creates instances of TwitterCldr::Transforms::Transformer. You can do this too if you're feeling adventurous. Here's our Japanese example again that uses Transformer:
rule_set = TwitterCldr::Transforms::Transformer.get('Hiragana-Latin')
rule_set.transform('くろねこさま') # "kuronekosama"
Notice that the .get method was called with 'Hiragana-Latin' instead of 'ja-en' or something similar. This is because .get must be passed an exact transform id. To get a list of all supported transform ids, use the Transformer#each_transform method:
TwitterCldr::Transforms::Transformer.each_transform.to_a # ['Hiragana-Latin', 'Gujarati-Bengali', ...]
You can also search for transform ids using the TransformId class, which will attempt to find the closest matching transformer for the given source and target locales. Note that .find will return nil if no transformer can be found. You can pass instances of TransformId instead of a string when calling Transformer.get:
TwitterCldr::Transforms::TransformId.find('ja', 'en') # nil
id = TwitterCldr::Transforms::TransformId.find('ja_Hiragana', 'en')
id.source # Hiragana
id.target # Latin
rule_set = TwitterCldr::Transforms::Transformer.get(id)
rule_set.transform('くろねこさま') # "kuronekosama"
When it comes to displaying text written in both right-to-left (RTL) and left-to-right (LTR) languages, most display systems run into problems. The trouble is that Arabic or Hebrew text and English text (for example) often get scrambled visually and are therefore difficult to read. It's not usually the basic ASCII characters like A-Z that get scrambled - it's most often punctuation marks and the like that are confusingly mixed up (they are considered "weak" types by Unicode).
To mitigate this problem, Unicode supports special invisible characters that force visual reordering so that mixed RTL and LTR (called "bidirectional") text renders naturally on the screen. The Unicode Consortium has developed an algorithm (The Unicode Bidirectional Algorithm, or UBA) that intelligently inserts these control characters where appropriate. You can make use of the UBA implementation in TwitterCLDR by creating a new instance of TwitterCldr::Shared::Bidi using the from_string static method, and manipulating it like so:
bidi = TwitterCldr::Shared::Bidi.from_string("hello نزوة world", :direction => :RTL)
bidi.reorder_visually!
bidi.to_s
Disclaimer: Google Translate tells me the Arabic in the example above means "fancy", but my confidence is not very high, especially since all the letters are unattached. Apologies to any native speakers :)
The Psych gem that is the default YAML engine in Ruby 1.9 doesn't handle Unicode characters perfectly. To mitigate this problem, TwitterCLDR contains an adaptation of the ya2yaml gem by Akira Funai. Our changes specifically add better dumping of Ruby symbols. If you can get Mr. Funai's attention, please gently remind him to merge @camertron's pull request so we can use his gem and not have to maintain a separate version :) Fortunately, YAML parsing can still be done with the usual YAML.load or YAML.load_file.
You can make use of TwitterCLDR's YAML dumper by calling localize and then to_yaml on an Array, Hash, or String:
{ :hello => "world" }.localize.to_yaml
["hello", "world"].localize.to_yaml
"hello, world".localize.to_yaml
Behind the scenes, these convenience methods are using the TwitterCldr::Shared::YAML class. You can do the same thing if you're feeling adventurous:
TwitterCldr::Shared::YAML.dump({ :hello => "world" })
TwitterCldr::Shared::YAML.dump(["hello", "world"])
TwitterCldr::Shared::YAML.dump("hello, world")
TwitterCLDR doesn't support every locale available in the CLDR data set. If the library doesn't support the locale you need, feel free to add it and create a pull request. Adding (or updating) locales is easy. You'll need to run several rake tasks, one with MRI and another with JRuby. You'll also need an internet connection, since most of the tasks require downloading versions of CLDR, ICU, and various Unicode data files.
Under MRI and then JRuby, run the add_locale rake task, passing the locale in the square brackets:
bundle exec rake add_locale[bo]
If you're using rbenv or rvm, try using the add_locale.sh script, which will install the required Ruby versions and run the rake tasks:
./script/add_locale.sh bo
Twitter tries to always use BCP-47 language codes. Data from the CLDR doesn't always match those codes however, so TwitterCLDR provides a convert_locale method to convert between the two. All functionality throughout the entire gem defers to convert_locale before retrieving CLDR data. convert_locale supports Twitter-supported BCP-47 language codes as well as CLDR locale codes, so you don't have to guess which one to use. Here are a few examples:
TwitterCldr.convert_locale(:'zh-cn') # :zh
TwitterCldr.convert_locale(:zh) # :zh
TwitterCldr.convert_locale(:'zh-tw') # :"zh-Hant"
TwitterCldr.convert_locale(:'zh-Hant') # :"zh-Hant"
TwitterCldr.convert_locale(:msa) # :ms
TwitterCldr.convert_locale(:ms) # :ms
There are a few functions in TwitterCLDR that don't require a locale code, and instead use the default locale by calling TwitterCldr.locale. The locale function defers to FastGettext.locale when the FastGettext library is available, and falls back on :en (English) when it's not. (Twitter uses the FastGettext gem to retrieve translations efficiently in Ruby).
TwitterCldr.get_locale # will return :en
require 'fast_gettext'
FastGettext.locale = "ru"
TwitterCldr.locale # will return :ru
TwitterCLDR is fully compatible with Ruby 2.3, 2.4, 2.5, 2.6, 2.7, 3.0, 3.1, 3.2.
No external requirements.
bundle exec rake will run our basic test suite suitable for development. To run the full test suite, use bundle exec rake spec:full. The full test suite takes considerably longer to run because it runs against the complete normalization and collation test files from the Unicode Consortium. The basic test suite only runs normalization and collation tests against a small subset of the complete test file.
Tests are written in RSpec.
You can run the development test coverage suite (using simplecov) with bundle exec rake spec:cov, or the full suite with bundle exec rake spec:cov:full.
TwitterCLDR currently supports localization of certain textual objects in JavaScript via the twitter-cldr-js gem. See http://github.com/twitter/twitter-cldr-js for details.
Copyright 2024 Twitter, Inc.
Licensed under the Apache License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0
FAQs
Unknown package
We found that twitter_cldr demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.
Research
Security News
A threat actor's playbook for exploiting the npm ecosystem was exposed on the dark web, detailing how to build a blockchain-powered botnet.
Security News
NVD’s backlog surpasses 20,000 CVEs as analysis slows and NIST announces new system updates to address ongoing delays.