146 lines
3.8 KiB
YAML
146 lines
3.8 KiB
YAML
names:
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replace_affix_probability: 0.6
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languages:
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# sample a language from the distribution of languages found on the Internet
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non_local_language_probability: 0.05
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# Replace user-tagged admin components with the non-local language version
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replace_non_local_probability: 0.4
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# Dependencies for including each component in an "address"
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# Two-way dependencies are not an issue
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component_dependencies:
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road:
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dependencies: []
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po_box:
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dependencies:
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- road
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- suburb
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- city_district
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- city
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- postcode
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house_number:
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dependencies:
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- road
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entrance:
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dependencies:
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- house_number
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staircase:
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dependencies:
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- house_number
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level:
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dependencies:
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- house_number
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unit:
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dependencies:
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- house_number
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metro_station:
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dependencies:
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- house
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- road
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- house_number
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postcode:
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dependencies: []
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# Country exceptions
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exceptions:
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jp:
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house_number:
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dependencies:
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- road
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- suburb
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- city_district
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# Each component is dropped out separately and a new address
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# is added to the training set. These are only the address-level
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# components. Places/boundaries are taken care of elsewhere.
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dropout:
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attention:
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probability: 0.8
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care_of:
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probability: 0.8
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house:
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probability: 0.6
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house_number:
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probability: 0.5
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road:
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probability: 0.4
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entrance:
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probability: 0.8
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staircase:
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probability: 0.8
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level:
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probability: 0.6
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unit:
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probability: 0.5
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postcode:
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probability: 0.6
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po_box:
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probability: 0.1
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# Note: these probabilities all independent (don't need to sum to 1)
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drop_address_probability: 0.8 # drop house number, road, etc.
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drop_places_probability: 0.1 # drop place names
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drop_postcode_probability: 0.3 # drop postal code
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category:
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# Same thing for category queries
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drop_address_probability: 0.8 # drop house number, road, etc.
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drop_places_probability: 0.1 # drop place names
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drop_postcode_probability: 0.3 # drop postal code
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places:
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hyphenate_multiword_probability: 0.01
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remove_hyphen_probability: 0.5
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boundaries:
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abbreviate_toponym_probability: 0.35
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# Usually in Germany, may have e.g. name:prefix=Stadtbezirk
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add_prefix_probability: 0.5
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neighborhood:
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# Usually in Germany, may have e.g. name:prefix=Ortsteil
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add_prefix_probability: 0.5
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use_first_match_probability: 0.8
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city:
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quattroshapes_geonames_backup_city_probability: 0.2
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quattroshapes_geonames_abbreviated_probability: 0.1
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state_district:
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join_probability: 0.5
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state:
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# Probability of using full name e.g. New York vs. NY
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full_name_probability: 0.2
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abbreviated_probability: 0.8
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# Currently for Russian and Ukrainian, convert some names to the genitive case
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slavic_names:
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state:
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genitive_probability: 0.4
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state_district:
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genitive_probability: 0.4
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country:
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# If no country is specified, pull the country name from CLDR (authoratative country names translated into different languages)
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cldr_country_probability: 0.5
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# When a country is specified and is simply an ISO code (e.g. US, DE), replace with one of the CLDR names
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replace_with_cldr_country_probability: 0.9
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# When the user-specified country is an ISO code, remove it from the components with this probability (fall back on geocoded components)
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remove_iso_code_probability: 0.1
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cldr:
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localized_name_probability: 0.92
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iso_alpha_2_code_probability: 0.02
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iso_alpha_3_code_probability: 0.01
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iso_3166_name_probability: 0.05
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