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Finnish, Finland Definitions

Definitions for the Finnish, Finland locale are described below.

Case Definitions
Extraction Definitions
Gender Analysis Definitions
Identification Analysis Definitions
Match Definitions
Parse Definitions
Pattern Analysis Definitions
Standardization Definitions
Inherited Definitions

Case Definitions

Lower (Title)
Description	The Lower (Title) case definition cases titles.
Examples	Input	Output
	DATANOMIHARJOITTELIJA	Datanomiharjoittelija
	DIPLOMI-INSINÖÖRI, MAA- JA VESIRAKENNUS	Diplomi-insinööri, maa- ja vesirakennus
	CEO	CEO
	PHD	PhD
Remarks	Titles are generally lowercased, but first character is uppercased.

Proper (Address)
Description	The Proper (Address) case definition propercases addresses.
Examples	Input	Output
	Petri Pasanen Kuja 12 b	Petri Pasanen kuja 12 B
	PÄIVIÖNKATU 36 A 4	Päiviönkatu 36 A 4
	AKU RÄDYNTIE 5	Aku Rädyntie 5
Remarks

Proper (City)
Description	The Proper (City) case definition propercases city names.
Examples	Input	Output
	ALA-SEPPÄ	Ala-Seppä
	NOKIA	Nokia
	ÖSTERBY	Österby
Remarks

Proper (Legal Form)
Description	The Proper (Legal Form) case definition propercases legal forms for organizations.
Examples	Input	Output
	OY	Oy
	RF	rf
	GMBH	GmbH
Remarks

Proper (Name)
Description	The Proper (Name) case definition propercases names of individuals.
Examples	Input	Output
	Kaarlo Ylppö	Kaarlo Ylppö
	MINNA VON KNORRING	Minna von Knorring
	SALLA SAARNI-YLÄ-KÖNNI	Salla Saarni-Ylä-Könni
Remarks

Proper (Organization)
Description	The Proper (Organization) case definition propercases organization names.
Examples	Input	Output
	Esab Dalsbruk	ESAB Dalsbruk
	MSC Electronics	MSc elektronics
	Sa-Tu Logistics	SA-TU Logistics
Remarks

Extraction Definitions

None.

Gender Analysis Definitions

Name
Description	The Name gender analysis definition determines the gender of a name.
Possible Outputs	M F U
Examples	Input	Output
	Sari Saaritsa	F
	Mika Matinvesi	M
	P. J. Hannikainen	U
Remarks

Identification Analysis Definitions

Individual/Organization
Description	The Individual/Organization identification analysis definition determines whether a string represents the name of an individual or an organization.
Possible Outputs	ORGANIZATION INDIVIDUAL UNKNOWN
Examples	Input	Output
	Heli Nyman	INDIVIDUAL
	T:mi Tarja Harakka	ORGANIZATION
	Maken Kiska	ORGANIZATION
Remarks

Match Definitions

Address
Description	The Address match definition generates match codes which can be used to cluster records containing addresses.
Max Length of Match Code	28 characters
Examples	Input	Cluster ID
	Kala-Matti 12 A 9	0
	Fiskar-Matte 12 A 9	0
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Address (Full)
Description	The Address (Full) match definition generates match codes which can be used to cluster records containing complete two-line addresses.
Max Length of Match Code	40 characters
Examples	Input	Cluster ID
	Nihtisillankatu 3 A, 02511 ESPOO	0
	Nihtisillankantie 3 A, 02512 ESPOO	0
	näckensgränd 12-14 a 8, 10900 hangö	1
	Ahdinkuja 12/1 A 8, 10900 HANKO	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Address (PO Box Only)
Description	The Address (PO Box Only) match definition generates match codes which can be used to cluster records containing the PO Box portion of an address.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	TEKNIIKANTIE 14, PL 123	0
	Kala-Matti 12 A 9, PL 123	0
	PL 123	0
	PL 234	0
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Address (Street Only)
Description	The Address (Street Only) match definition generates match codes which can be used to cluster records containing the street portion of an address.
Max Length of Match Code	21 characters
Examples	Input	Cluster ID
	TEKNIIKANTIE 14, PL 123	0
	TEKNIIKANTIE 14 B, PL 234	0
	PL 123	1
	PL 234	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

City
Description	The City match definition generates match codes which can be used to cluster records containing city names.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	MÄNTYHARJU	0
	MÄNTYHARJU KK	0
	MUURAME	1
	MUURAME 7	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

City - State/Province - Postal Code
Description	The City - State/Province - Postal Code match definition generates match codes which can be used to cluster records containing last line address information.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	00250 HELSINKI	0
	00251 HELSINGFORS	0
	65100 VAASA	1
	65101 VASA	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Name
Description	The Name match definition generates match codes which can be used to cluster records containing names of individuals.
Max Length of Match Code	20 characters
Examples	Input	Cluster ID
	Diplomi-insinööri Mia Karsten	0
	MIIA-NOORA KARLSTEN	0
	Frederic Virtanen	1
	Fred E. Virtanen	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Organization
Description	The Organization match definition generates match codes which can be used to cluster records containing organization names.
Max Length of Match Code	36 characters
Examples	Input	Cluster ID
	MAATALOUDEN LASKENTAKESKUS OY	0
	SUOMEN MAATALOUDEN LASKENTAKESKUS KY	0
	Fennia	1
	KESKINÄINEN VAKUUTUSYHTIÖ FENNIA	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Phone
Description	The Phone match definition generates match codes which can be used to cluster records containing phone numbers.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	050 3587243	0
	+358 50 3587244	0
	Soitella: (050) 358 72 45	0
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Postal Code
Description	The Postal Code match definition generates match codes which can be used to cluster records containing postal codes.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	02150	0
	00251	1
	FI-00252	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Parse Definitions

Address
Description	The Address parse definition parses addresses into a set of tokens.
Output Tokens	Building Name Street Building Number Extension Additional Info
Example 1	Input	Output Token	Output
	Tekniikantie 14, PL 85	Building Name
		Street	Tekniikantie
		Building Number	14
		Extension	PL 85
		Additional Info
Example 2	Input	Output Token	Output
	Topeliuskatu 41 aA 15	Building Name
		Street	Topeliuskatu
		Building Number	41
		Extension	aA 15
		Additional Info
Remarks	Parsing is following Public Administration Recommendation JHS106 of how to write postal addresses. Address extension and Post Box address are parsed into the same token.

Address (Full)
Description	The Address (Full) parse definition parses addresses containing complete two-line addresses into a set of tokens.
Output Tokens	Building Name Street Building Number Extension Postal Code City Additional Info
Example 1	Input	Output Token	Output
	Tekniikantie 14 PL 85, 02151 ESPOO	Building Name
		Street	Tekniikantie
		Building Number	14
		Extension	PL 85
		Postal Code	02151
		City	Espoo
		Additional Info
Example 2	Input	Output Token	Output
	Övre s:t Mariegatan 8 B 3 02400 Åbo	Building Name
		Street	Övre s:t Mariegatan
		Building Number	8
		Extension	B 3
		Postal Code	20400
		City	Åbo
		Additional Info
Remarks

Address (Global)
Description	The Address (Global) parse definition parses addresses into a globally recognized set of tokens.
Output Tokens	Recipient Building/Site Street Extension PO Box Additional Info
Example	Input	Output Token	Output
	Vesakkotie 5 A 55	Recipient
		Building/Site
		Street	Vesakkotie 5
		Extension	A 55
		PO Box
		Additional Info
Remarks	Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

City - State/Province - Postal Code
Description	The City - State/Province - Postal Code parse definition parses last line address information into a set of tokens.
Output Tokens	Postal Code City
Example	Input	Output Token	Output
	02151 ESPOO	Postal Code	02151
	02151 ESPOO	City	ESPOO
Remarks

City - State/Province - Postal Code (Global)
Description	The City - State/Province - Postal Code (Global) parse definition parses last line address information into a globally recognized set of tokens.
Output Tokens	City State/Province Postal Code Additional Info
Example	Input	Output Token	Output
	02151 ESPOO	City	ESPOO
		State/Province
		Postal Code	02151
		Additional Info
Remarks	Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

Name
Description	The Name parse definition parses names of individuals into a set of tokens.
Output Tokens	Title/Additional Info Prefix Given Name Middle Name Family Name Suffix
Example 1	Input	Output Token	Output
	MIKAEL T. KLOCKARS	Title/Additional Info
		Prefix
		Given Name	MIKAEL
		Middle Name	T
		Family Name	KLOCKARS
		Suffix
Example 2	Input	Output Token	Output
	ROUVA MARJA-LEENA VÄLIAHO	Title/Additional Info
		Prefix	ROUVA
		Given Name	MARJA-LEENA
		Middle Name
		Family Name	VÄLIAHO
		Suffix
Remarks	The order of name and title is following the JHS106 definition. The commonly recognized order of prefix and title is not followed.

Name (Global)
Description	The Name (Global) parse definition parses names of individuals into a globally recognized set of tokens.
Output Tokens	Prefix Given Name Middle Name Family Name Suffix Title/Additional Info
Example 1	Input	Output Token	Output
	MIKAEL T. KLOCKARS	Prefix
		Given Name	MIKAEL
		Middle Name	T.
		Family Name	KLOCKARS
		Suffix
		Title/Additional Info
Example 2	Input	Output Token	Output
	ROUVA MARJA-LEENA VÄLIAHO	Prefix	ROUVA
		Given Name	MARJA-LEENA
		Middle Name
		Family Name	VÄLIAHO
		Suffix
		Title/Additional Info
Remarks	Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

Name (Multiple Name)
Description	The Name (Multiple Name) parse definition parses strings that contain the names of two individuals into a set of tokens.
Output Tokens	Name 1 Name 2
Example 1	Input	Output Token	Output
	PEKKA MÄKELÄ, LIISA MUSTONEN	Name 1	PEKKA MÄKELÄ
	PEKKA MÄKELÄ, LIISA MUSTONEN	Name 2	LIISA MUSTONEN
Example 2	Input	Output Token	Output
	AULIS LAINE JA DOORIS MÄKI	Name 1	AULIS LAINE
	AULIS LAINE JA DOORIS MÄKI	Name 2	DOORIS MÄKI
Remarks

Organization
Description	The Organization parse definition parses organization names into a set of tokens.
Output Tokens	Legal Form Prefix Organization Legal Form Suffix Additional Info
Example	Input	Output Token	Output
	Oy Vaasan Kone Ab	Legal Form Prefix	Oy
		Organization	Vaasan Kone
		Legal Form Suffix	Ab
		Additional Info
Remarks

Phone
Description	The Phone parse definition parses phone numbers into a set of tokens.
Output Tokens	Country Code Area Code Phone Number Additional Info
Example 1	Input	Output Token	Output
	Työ095255721	Country Code
		Area Code	09
		Phone Number	52557214
		Additional Info	Työ
Example 2	Input	Output Token	Output
	GSM +358 50 5258725	Country Code	358
		Area Code	50
		Phone Number	5258725
		Additional Info	GSM


Remarks

Phone (Global)
Description	The Phone (Global) parse definition parses phone numbers into a globally recognized set of tokens.
Output Tokens	Country Code Area Code Base Number Extension Line Type Additional Info
Example 1	Input	Output Token	Output
	09 5255 7214 Työ	Country Code
		Area Code	09
		Base Number	52557214
		Extension
		Line Type
		Additional Info	Työ
Example 2	Input	Output Token	Output
	+358 50 5258725	Country Code	+358
		Area Code	50
		Base Number	5258725
		Extension
		Line Type
		Additional Info
Remarks	Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

Pattern Analysis Definitions

None.

Standardization Definitions

Address
Description	The Address standardization definition standardizes addresses.
Examples	Input	Output
	HAAGAN URHEILUTIE 3 AB 11	Haagan urheilutie 3 aB 11
	LEPOLANTIE 105 AS 3	Lepolantie 105 as 3
Remarks

Address (Full)
Description	The Address (Full) standardization definition standardizes complete two line addresses.
Example	Input	Output
Example	LESKIROUVA FREYTAGIN KUJA 3 B 33, 00790 HELSINKI	Leskirouva Freytagin kuja 3 B 33 00790 HELSINKI
Remarks

City
Description	The City standardization definition standardizes city names.
Examples	Input	Output
	YLI-II	Yli-Ii
	HELSINKI	Helsinki
Remarks

City - State/Province - Postal Code
Description	The City - State/Province - Postal Code standardization definition standardizes last line address information.
Examples	Input	Output
	02151 Espoo	02151 ESPOO
	00250 Helsinki	00250 HELSINKI
Remarks	Follows the instructions given in JHS106 and uppercases city names.

City (Upper)
Description	The City (Upper) standardization definition standardizes and uppercases city names.
Examples	Input	Output
	Yli-Ii	YLI-II
	Helsinki	HELSINKI
Remarks

Name
Description	The Name standardization definition standardizes names of individuals.
Examples	Input	Output
	MIINA VON LODE	Miina von Lode
	Lahtinen, Pyry	Pyry Lahtinen
	Mrs Liisa Lahtinen	Rouva Liisa Lahtinen
Remarks	Name prefixes are translated to Finnish. Finnish name prefixes are not abbreviated.

Name (No Translation)
Description	The Name (No Translation) standardization definition standardizes names of individuals.
Examples	Input	Output
	MIINA VON LODE	Miina von Lode
	Lahtinen, Pyry	Pyry Lahtinen
	Rva Liisa Lahtinen	Rouva Liisa Lahtinen
	Mrs. Liisa Lahtinen	Mrs Liisa Lahtinen
	Frk. Liisa Lahtinen	Frk Liisa Lahtinen
Remarks	Name prefixes are not translated to Finnish. Finnish name prefixes are not abbreviated.

Name (Swedish)
Description	The Name (Swedish) standardization definition standardizes names of individuals.
Examples	Input	Output
	Rva Liisa Lahtinen	Fr Liisa Lahtinen
	Mrs. Liisa Lahtinen	Fr Liisa Lahtinen
	Frk. Liisa Lahtinen	Frk Liisa Lahtinen
Remarks	Name prefixes are translated to Swedish. Name prefixes are abbreviated.

Organization
Description	The Organization standardization definition standardizes organization names.
Examples	Input	Output
	OY ADZONE AB	Oy AdZone Ab
	MATIN RENGAS KY	Matin Rengas Ky
Remarks

Phone
Description	The Phone standardization definition standardizes phone numbers for domestic use.
Examples	Input	Output
	+358 9525571	09 525571
	050 525571	050 525571
Remarks

Phone (with Country Code)
Description	The Phone (with Country Code) standardization definition standardizes phone numbers for international use.
Examples	Input	Output
	09525571	+385 9 525571
	003589525571	+358 9 525571
Remarks

Postal Code
Description	The Postal Code standardization definition standardizes postal codes.
Examples	Input	Output
Examples	'02150'	02150
Remarks

Postal Code (International)
Description	The Postal Code (International) standardization definition standardizes postal codes and inserts country prefixes.
Examples	Input	Output
	02150	FI-02150
	22150	AX-22150
Remarks	Country code AX is inserted for postal codes starting with 22 followed by three digits.

Inherited Definitions

In addition to the definitions listed on this page, the Finnish, Finland locale also inherits all definitions for the Finnish language and all Global definitions.