Hungarian, Hungary Definitions

Definitions for the Hungarian, Hungary 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

Proper (City)
Description	The Proper (City) case definition propercases city names.
Examples	Input	Output
	BUDAPEST	Budapest
	Szeged-tápé	Szeged-Tápé
Remarks

Proper (Name)
Description	The Proper (Name) case definition propercases names of individuals.
Examples	Input	Output
	Kis-juhász Béla	Kis-Juhász Béla
	KOVÁCS ISTVÁN	Kovács István
	Szabó ferenc	Szabó Ferenc
Remarks

Proper (Organization)
Description	The Proper (Organization) case definition propercases organization names.
Examples	Input	Output
	ECODEV Kft.	Ecodev Kft.
	aranyalma bt.	Aranyalma Bt.
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
	Kovács János	M
	Kovács Jánosné	F
	John Smith	M
	Gálfi G.	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
	Kovács János	INDIVIDUAL
	Kovács János Bt.	ORGANIZATION
	MOL Rt.	ORGANIZATION
	MOL	UNKNOWN
Remarks

Name
Description	The Name identification analysis definition determines whether a string represents a correct Hungarian name.
Possible Outputs	HUN FOREIGN OTHER
	Input	Output
Examples	Kovács János	HUN
	Kovács Jánso	FOREIGN
	John Smith	FOREIGN
	Szimán	OTHER
Remarks	The Name identification analysis definition is used to identify incorrect Hungarian names. It has a limited capability to distinguish between Hungarian and foreign names. A misspelled given name with a common family name might be identified as "FOREIGN" rather than "OTHER" (see the second example).

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	22 characters
Examples	Input	Cluster ID
	Cserje u. 18 fszt. 1.	0
	Bajcsy Zs. u. 21-23	1
	Bajcsi Zsilinszky. út 21/a.	1
	Nagyvárad tér 1/b.	2
Remarks	Diacritics transliteration is applied at a sensitivity level of 84 and below.
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	41 characters
Examples	Input	Cluster ID
	1025 Budapest, Cserje u. 18.	0
	1051 Bp., Bajcsy-Zsilinszky E. u. 21-23.	1
	1051 Budapest, Bajcsy-Zs. E. u. 21-23.	1
	9092 Győr, Arany J. tér 19.	2
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
	TÁPÉ	0
	SZEGED-TÁPÉ	0
	BUDAPEST	1
	BUDA-PEST	1
	BP	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	19 characters
Examples	Input	Cluster ID
	1025 Budapest	0
	1038 Bp	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

ID Number
Description	The ID Number match definition generates match codes which can be used to cluster records containing ID card numbers.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	AU-VII. 255435	0
	AU255435	0
	255435AU	0
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
	dr. Kovács István	0
	Kováts István	0
	özv. Kovács Istvánné	0
	Kovács Istvánné Szabó Mária	1
	Szabó Mária	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).
Remarks	Note that this definition does not produce the same match code for two strings such that the first is a man's name and the second includes the man's name as the marriage name portion of a woman's name. To match names according to the marriage name, use the Name (Marriage Name Only) match definition. The recommendation for matching names is to use this definition in conjunction with the Name (Marriage Name Only) match definition, combining the results with an OR cluster condition, and in the same job to include other match definitions such as Address or Phone.

Name (Marriage Name Only)
Description	The Name (Marriage Name Only) match definition generates match codes which can be used to cluster records containing names of individuals, based on the marriage name portion of the name string.
Max Length of Match Code	20 characters
Examples	Input	Cluster ID
	özv. Kovács Istvánné	0
	Kovács Istvánné Mária	0
	Kovács Istvánné Szabó Mária	0
	Kovács Istvánné Judit	0
	Bakó Istvánné Szabó Mária	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).
Remarks	Note that this definition might cause some false positives, as when strings representing two women married to men of the same name produce the same match code. Also, this definition will not match two names if the names do not share marriage names -- even if other portions of the names are identical. The recommendation for matching names is to use this definition in conjunction with the Name match definition, combining the results with an OR cluster condition, and in the same job to include other match definitions such as Address or Phone.

Organization
Description	The Organization match definition generates match codes which can be used to cluster records containing organization names.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	Macska 2007 Kereskedelmi és Szolgáltató kft	0
	Macska bt.	1
	Macska Kereskedelmi és Szolgáltató kft	1
	R and R Kft.	2
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	16 characters
Examples	Input	Cluster ID
	+36-1-326-0573	0
	326-05-73	0
	30/9456-455	1
	06-30-945-6455	1
	06-70-4532321	2
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
	1025.	0
	1 0 2 5	0
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Text
Description	The Text match definition generates match codes which can be used to cluster records containing general text strings.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	Dell Számítógép	0
	DELL-SZÁMITOGEP	0
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	Street Name Street Type Building Number Extension Extension Number Additional Information
	Input	Output Token	Output
Example 1	Cserje u. 18 fszt. 1.	Street Name	Cserje
		Street Type	u
		Building Number	18
		Extension	fszt. 1
		Extension Number
		Additional Information
	Input	Output Token	Output
Example 2	József A. ltp. 4/C 1/3	Street Name	József A
		Street Type	ltp
		Building Number	4/C
		Extension	1/3
		Extension Number
		Additional Information
Remarks

Address (Full)
Description	The Address (Full) parse definition parses addresses containing complete two-line addresses into a set of tokens.
Output Tokens	Street Name Street Type Building Number Extension Extension Number Postal Code City Additional Information
	Input	Output Token	Output
Example 1	2324 Szeged-Tápé, Kossuth u. 13.	Street Name	Kossuth
		Street Type	u
		Building Number	13
		Extension
		Extension Number
		Postal Code	2324
		City	Szeged-Tápé
		Additional Information
	Input	Output Token	Output
Example 2	1038 Budapest, Magyar Televízió PF:138	Street Name	Magyar Televízió
		Street Type
		Building Number
		Extension	PF
		Extension Number	138
		Postal Code	1038
		City	Budapest
		Additional Information
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
	Input	Output Token	Output
Example	Cserje u. 18. fszt. 1.	Recipient
		Building/Site
		Street	Cserje u. 18
		Extension	fszt. 1
		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
	Input	Output Token	Output
Example	1025 Budapest	Postal Code	1025
Example	1025 Budapest	City	Budapest
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
	Input	Output Token	Output
Examples	1025 Budapest	City	Budapest
		State/Province
		Postal Code	1025
		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	Prefix Marriage Name Family Name Given Name Suffix Title/Additional Info
	Input	Output Token	Output
Example 1	dr. Kiss Józsefné	Prefix	dr.
		Marriage Name
		Family Name	Kiss
		Given Name	Józsefné
		Suffix
		Title/Additional Info
	Input	Output Token	Output
Example 2	ifj. Kiss Lászlóné dr. Sipos Gabriella	Prefix	dr.
		Marriage Name	ifj. Kiss Lászlóné
		Family Name	Sipos
		Given Name	Gabriella
		Suffix
		Title/Additional Info
	Input	Output Token	Output
Example 3	Dézsi István Zoltán (ifj.)	Prefix	ifj.
		Marriage Name
		Family Name	Dézsi
		Given Name	István Zoltán
		Suffix
		Title/Additional Info
Remarks	When a woman's name is represented as her husband's name extended with the suffix -né, then the husband's family name and given name are parsed into the Family Name and Given Name tokens (see example 1). If a woman's name contains her maiden family name, then the woman's maiden name and given name are parsed into Family Name and Given Name, and the husband's name is parsed into the Marriage Name token (example 2). If a woman's name appears with the woman's maiden name and the husband's name, and the husband's name has a title or generational indicator, the husband's title or generational indicator is parsed into the Marriage Name token along with the rest of the husband's name (example 2). If the title appears between the husband's name and a woman's maiden name, the title is considered to apply to the woman, and is therefore parsed into the Prefix token (example 2). Generational indicator words appearing with a man's name are always parsed into the Prefix token (example 3).

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
	Input	Output Token	Output
Example 1	dr. Kiss Józsefné	Prefix	dr.
		Given Name	Józsefné
		Middle Name
		Family Name	Kiss
		Suffix
		Title/Additional Info
	Input	Output Token	Output
Example 2	ifj. Kiss Lászlóné dr. Sipos Gabriella	Prefix	dr.
		Given Name	Gabriella
		Middle Name
		Family Name	Sipos
		Suffix
		Title/Additional Info	ifj. Kiss Lászlóné
	Input	Output Token	Output
Example 3	Dézsi István Zoltán (ifj.)	Prefix
		Given Name	István Zoltán
		Middle Name
		Family Name	Dézsi
		Suffix	ifj.
		Title/Additional Info
Remarks	When a woman's name is represented as her husband's name extended with the suffix -né, then the husband's family name and given name are parsed into the Family Name and Given Name tokens (see example 1). If a woman's name contains her maiden family name, then the woman's maiden name and given name are parsed into Family Name and Given Name, and the husband's name is parsed into the Title/Additional Info token (Example 2). If a woman's name appears with the woman's maiden name and the husband's name, and the husband's name has a title or generational indicator, the husband's title or generational indicator is parsed into the Title/Additional Info token along with the rest of the husband's name (example 2). If the title appears between the husband's name and a woman's maiden name, the title is considered to apply to the woman, and is therefore parsed into the Prefix token (example 2). Generational indicator words appearing with a man's name are always parsed into the Suffix token (example 3). The Middle Name token is not used. 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
	Input	Output Token	Output
Example 1	László Kővári / József Barsi	Name 1	László Kővári
Example 1	László Kővári / József Barsi	Name 2	József Barsi
	Input	Output Token	Output
Example 2	Demjén Zsolt és Szabó Albert	Name 1	Demjén Zsolt
Example 2	Demjén Zsolt és Szabó Albert	Name 2	Szabó Albert
Remarks

Name (with Infix)
Description	The Name (with Infix) parse definition parses names of individuals, using an Infix token for embedded title words.
Output Tokens	Prefix Marriage Name Infix Family Name Given Name Suffix Title/Additional Info
	Input	Output Token	Output
Example 1	dr. Kiss Józsefné	Prefix	dr.
		Marriage Name
		Infix
		Family Name	Kiss
		Given Name	Józsefné
		Suffix
		Title/Additional Info
	Input	Output Token	Output
Example 2	ifj. Kiss Lászlóné dr. Sipos Gabriella	Prefix	ifj.
		Marriage Name	Kiss Lászlóné
		Infix	dr.
		Family Name	Sipos
		Given Name	Gabriella
		Suffix
		Title/Additional Info
	Input	Output Token	Output
Example 3	Dézsi István Zoltán (ifj.)	Prefix	ifj.
		Marriage Name
		Infix
		Family Name	Dézsi
		Given Name	István Zoltán
		Suffix
		Title/Additional Info
Remarks	When a woman's name is represented as her husband's name extended with the suffix -né, then the husband's family name and given name are parsed into the Family Name and Given Name tokens (see example 1). If a woman's name contains her maiden family name, then the woman's maiden name and given name are parsed into Family Name and Given Name, and the husband's name is parsed into the Marriage Name token (example 2). If a name contains a title at the beginning of the name, the title is parsed into the Prefix token (examples 1 and 2). If the title appears between the husband's name and a woman's maiden name, the title is parsed into the Infix token (example 2). Generational indicator words such as ifj are always parsed into the Prefix token (example 3).

Organization
Description	The Organization parse definition parses organization names into a set of tokens.
Output Tokens	Name Legal Form Additional Info Site Description
	Input	Output Token	Output
Example	ECODEV Gazdasági Fejlesztő és Tanácsadó Kft.	Name	ECODEV
		Legal form	Kft
		Additional Info
		Site
		Description	Gazdasági Fejlesztő és Tanácsadó
Remarks	The Site token is unused. It is reserved for further development.

Phone
Description	The Phone parse definition parses phone numbers into a set of tokens.
Output Tokens	Prefix Country Code Area Code Base Number Extension
	Input	Output Token	Output
Example 1	06-85-560-020/123	Prefix
		Country Code
		Area Code	85
		Base Number	560020
		Extension	123
	Input	Output Token	Output
Example 2	fax: 82/553-113	Prefix	fax
		Country Code
		Area Code	82
		Base Number	553113
		Extension
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
	Input	Output Token	Output
Example 1	06-85-560-020/123	Country Code
		Area Code	85
		Base Number	560020
		Extension	123
		Line Type
		Additional Info
	Input	Output Token	Output
Example 2	fax: 82/553-113	Country Code
		Area Code	82
		Base Number	553113
		Extension
		Line Type	fax
		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

Hungarian Word Analysis
Description	The Hungarian Word Analysis pattern analysis definition determines the pattern of words in the input string.
Examples	Input	Output
	Árvíztűrő tüköfúrógép	A A
	1941-ben ismertem meg Dániel	9*A A A A
	MB3 Kft.	M A*
	Grätzer György	X A
Remarks	The Hungarian Word Analysis is similar to Word Analysis, but is used to designate words with some non-Hungarian letters (for example, German, Slovakian, or Polish special characters) by an X.

Standardization Definitions

Address
Description	The Address standardization definition standardizes addresses.
Examples	Input	Output
	KOSSUTH TÉR 11	Kossuth Lajos tér 11.
	Széchenyi u. 1/A	Széchenyi István utca 1/a.
	pf 89	Pf.: 89
Remarks

Address (Full)
Description	The Address (Full) standardization definition standardizes complete two line addresses.
	Input	Output
Example	1025 Bp Cserje u. 18	1025 Budapest, Cserje utca 18.
Remarks

City
Description	The City standardization definition standardizes city names.
	Input	Output
Examples	Bp	Budapest
	Szfvar	Székesfehérvár
	SZEGED-TAPE	Szeged-Tápé
Remarks

City - State/Province - Postal Code
Description	The City - State/Province - Postal Code standardization definition standardizes last line address information.
	Input	Output
Examples	1245 bp	1245 Budapest
Examples	3234GYOR	3234 Győr
Remarks

Name
Description	The Name standardization definition standardizes names of individuals.
	Input	Output
Examples	DR. KOVÁCS P JÓZSEF	dr Kovács P József
Examples	Bánáti János (Ifj.)	ifj Bánáti János
Remarks

Organization
Description	The Organization standardization definition standardizes organization names.
	Input	Output
Examples	ARANYALMA 2000 BETÉTI TÁRS	ARANYALMA 2000 Bt.
Examples	Zsivány Ker És Szolg KFT	Zsivány Kereskedelmi És Szolgáltató Kft.
Remarks

Phone
Description	The Phone standardization definition standardizes phone numbers for domestic use.
	Input	Output
Examples	06-85-560-020/123	85-560020/123
Examples	fax: 82/553-113	Fax:82-553113
Remarks

Postal Code
Description	The Postal Code standardization definition standardizes postal codes.
	Input	Output
Example	1025Bp	1025
Remarks

Inherited Definitions

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