English, India Definitions

Definitions for the English, India locale are described below.

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

Case Definitions

Proper (Address)
Description	The Proper (Address) case definition propercases addresses.
Examples	Input	Output
	405 SAMEDH TOWER SHAM NAGAR NR ADARASH PETROL PUMP	405 Samedh Tower Sham Nagar nr Adarash Petrol Pump
	30 OMKAR HOUSE C G ROAD NAVRANGPURA	30 Omkar House C G Road Navrangpura
Remarks

Proper (Name)
Description	The Proper (Name) case definition propercases names of individuals.
Examples	Input	Output
	AMRITLAL M DHAKA	Amritlal M Dhaka
	pravin champalal bokadia	Pravin Champalal Bokadia
Remarks

Gender Analysis Definitions

Name
Description	The Name gender analysis definition determines the gender of a name.
Possible Outputs	M F U
Examples	Input	Output
	Miss. Neha Patel	F
	Vora Praveen	M
	Dr. Pandey	U
Remarks

Identification Analysis Definitions

None.

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	86 characters
Examples	Input	Cluster ID
	B 8 Kapol Society Marve Road Malad Mumbai	0
	A 310 Kapol Nivas Marve Road Near Green Park Malad	0
	JIMIT APARTMENT 2ND FLOOR NEAR KAPOL SOC MARVE RD ROHINI	1
	IBM LTD JIMIT APARTMENT 4TH FLOOR MARVE RD NEAR KASTURI NAGAR ROHINI	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).
Remarks	The time it takes to execute matching for Indian addresses is mainly driven by the parsing that takes place internally in this match definition. If your input is already parsed, you can save a significant amount of execution time when you use the Match Codes (Parsed) node in DataFlux Data Management Studio.

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
	Mumbai	0
	Bombay	0
	Ambala Sadar	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	22 characters
Examples	Input	Cluster ID
	Buria Pin 110025 Mizoram	0
	Mizoram Buria - 110025	0
	Charkhi Dadri Nagaland - 110026	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
	Navneet Nischal	0
	Mr. Navnit Nischal, Dir	0
	Deepak Parekh	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Name (with Extensions)
Description	The Name (with Extensions) match definition generates match codes which can be used to cluster records containing names of individuals.
Max Length of Match Code	50 characters
Examples	Input	Cluster ID
	V V S Laxman	0
	Mr. V V P D Laxxman ,CEO	0
	Mr. A V D Rajendra	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	16 characters
Examples	Input	Cluster ID
	MOB-9869000595	0
	98690-00595	0
	2871565	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

PinCode
Description	The PinCode 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
	PIN 110035	0
	110035	0
	110018	1
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
	PIN 110035	0
	PIN 110035	0
	110018	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).
Remarks	This is the same behavior as PinCode. This definition allows the user to invoke postal code matching across locales with a single definition call, because a definition with this name is implemented on all locales.

State
Description	The State match definition generates match codes which can be used to cluster records containing names of states and union territories.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	J & K	0
	Jammu and Kashir	0
	Andaman	1
	Andaman & Nicobar	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	Extension Building/Wing Number Building Name Plot Phase Street Sector Part Neighborhood At Post Locality Landmark Scheme Pocket Layout Survey Cross Main Stage Block Tehsil Additional Info
Example 1	Input	Output
	402 Shalimar Manzil Layout No 2 Survey No 3 Tehsil Manas Thane	Extension	402
		Building/Wing Number
		Building Name	Shalimar Manzil
		Plot
		Phase
		Street
		Sector
		Part
		Neighborhood
		At Post
		Locality
		Landmark
		Scheme
		Pocket
		Layout	Layout No 2
		Survey	Survey No 3
		Cross
		Main
		Stage
		Block
		Tehsil	Tehsil Manas
		Additional Info	Thane
Example 2	Input	Output
	Shah Associates Ltd B/8/1 A Wing Anand Dham Soc Sector 4 Part No 2 12 A Main Survey No 1 Layout No 12 Shankar Rd Malad West Mumbai Maharashtra 400064 India	Extension	B/8/1
		Building/Wing Number	A Wing
		Building Name	Anand Dham Soc
		Plot
		Phase
		Street	Shankar Rd
		Sector	Sector 4
		Part	Part No 2
		Neighborhood
		At Post
		Locality	Malad West
		Landmark
		Scheme
		Pocket
		Layout	Layout No 12
		Survey	Survey No 1
		Cross
		Main	12 A Main
		Stage
		Block
		Tehsil
		Additional Info	Shah Associates Ltd Mumbai Maharashtra 400064 India
Example 3	Input	Output
	TCS Ltd Third Floor Amardeep Plaza 12 Stage Scheme No - 12 Pocket Z Block 12 12 A Cross Opp Sai Temple Kala Nagar Bangalore Karnataka India	Extension	Third Floor
		Building/Wing Number
		Building Name	Amardeep Plaza
		Plot
		Phase
		Street
		Sector
		Part
		Neighborhood	Kala Nagar
		At Post
		Locality
		Landmark	Opp Sai Temple
		Scheme	Scheme No - 12
		Pocket	Pocket Z
		Layout
		Survey
		Cross	12 A Cross
		Main
		Stage	12 Stage
		Block	Block 12
		Tehsil
		Additional Info	TCS Ltd Bangalore Karnataka India
Remarks	Due to the complexity of Indian addresses, the software might require a higher memory limit to complete processing of an input string. This definition has set the Parse Resource Limit to INTENSIVE in the QKB to obtain the most accurate results possible when executing definitions involving parsing of Indian addresses. Higher values for the Parse Resource Limit setting can cause higher execution times for your jobs, however, lower values cause some records to get a result code of ABANDONED. You can experiment with different values for the Parse Resource Limit setting to determine which value enables the best balance of accuracy and performance for your data. In Data Management Studio, the NULL value for the Parse Resource Limit means that the software will use the value for the Parse Resource Limit that is saved in the QKB. To override the value saved in the QKB, change the value in your job from NULL to one of the other available values: VERY_LOW, LOW, MEDIUM, HIGH, VERY_HIGH, or INTENSIVE. It is recommended that you leave the Parse Resource Limit set to NULL in Data Management Studio or explicitly set the value to INTENSIVE to obtain the most accurate results possible when executing definitions involving parsing of Indian addresses.

Address (Full)
Description	The Address (Full) parse definition parses addresses containing complete two-line addresses into a set of tokens.
Output Tokens	Extension Building/Wing Number Building Name Plot Phase Street Sector Part Neighborhood At Post Locality Landmark Scheme Pocket Layout Survey Cross Main Stage Block Tehsil City Pincode State Additional Info
Example 1	Input	Output
	B-8 Kapol Soc Marve Road Malad West Mumbai Maharashtra 400060	Extension	B-8
		Building/Wing Number
		Building Name	Kapol Soc
		Plot
		Phase
		Street	Marve Road
		Sector
		Part
		Neighborhood
		At Post
		Locality	Malad West
		Landmark
		Scheme
		Pocket
		Layout
		Survey
		Cross
		Main
		Stage
		Block
		Tehsil
		City	Mumbai
		Pincode	400060
		State	Maharashtra
		Additional Info
Example 2	Input	Output
	A/1212 Saraswati CHS Plot No 1 23 rd Phase Sector No 12 Mahakali Road Govind Nagar Kandivali Mumbai 400064 Maharashtra India	Extension	A/1212
		Building/Wing Number
		Building Name	Saraswati CHS
		Plot	Plot No 1
		Phase	23 rd Phase
		Street	Mahakali Road
		Sector	Sector No 12
		Part
		Neighborhood	Govind Nagar
		At Post
		Locality	Kandivali
		Landmark
		Scheme
		Pocket
		Layout
		Survey
		Cross
		Main
		Stage
		Block
		Tehsil
		City	Mumbai
		Pincode	400064
		State	MAHARASHTRA
		Additional Info	India
Example 3	Input	Output
	C/1 Appejay House Plot No 12 Jyoti Scheme Karvaya Layout Pocket 12 Survey No 1 Nr K C College Mumbai 400064	Extension	C/1
		Building/Wing Number
		Building Name	Appejay House
		Plot	Plot No 12
		Phase
		Street
		Sector
		Part
		Neighborhood
		At Post
		Locality
		Landmark	Nr K C College
		Scheme	Jyoti Scheme
		Pocket	Pocket 12
		Layout	Karvaya Layout
		Survey	Survey No 1
		Cross
		Main
		Stage
		Block
		Tehsil
		City	Mumbai
		Pincode	400064
		State
		Additional Info
Remarks	Due to the complexity of Indian addresses, the software might require a higher memory limit to complete processing of an input string. This definition has set the Parse Resource Limit to INTENSIVE in the QKB to obtain the most accurate results possible when executing definitions involving parsing of Indian addresses. Higher values for the Parse Resource Limit setting can cause higher execution times for your jobs, however, lower values cause some records to get a result code of ABANDONED. You can experiment with different values for the Parse Resource Limit setting to determine which value enables the best balance of accuracy and performance for your data. In Data Management Studio, the NULL value for the Parse Resource Limit means that the software will use the value for the Parse Resource Limit that is saved in the QKB. To override the value saved in the QKB, change the value in your job from NULL to one of the other available values: VERY_LOW, LOW, MEDIUM, HIGH, VERY_HIGH, or INTENSIVE. It is recommended that you leave the Parse Resource Limit set to NULL in Data Management Studio or explicitly set the value to INTENSIVE to obtain the most accurate results possible when executing definitions involving parsing of Indian addresses.

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 1	Input	Output
	1051 3RD FLOOR MAHAVIR BHAWAN,SITA RAM NAGAR,NEW DELHI 200021	Recipient
		Building/Site	MAHAVIR BHAWAN
		Street	SITA RAM NAGAR
		Extension	1051 3RD FLOOR
		PO Box
		Additional Info	NEW DELHI 200021
Example 2	Input	Output
	61 SAWYAM SIDHA COLONY WEST AVEVUE ROAD ,NEW DELHI	Recipient
		Building/Site	SAWYAM SIDHA COLONY
		Street	WEST AVEVUE ROAD
		Extension	61
		PO Box
		Additional Info	NEW DELHI
Example 3	Input	Output
	D-54 IST FLOOR, BATLA HOUSE, OKHLA ,NEW DELHI	Recipient
		Building/Site	BATLA HOUSE
		Street	OKHLA
		Extension	D-54 IST FLOOR
		PO Box
		Additional Info	NEW DELHI
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.
Remarks	The Address (Global) (v23) parse definition is now deprecated and will be removed in a future release of the QKB. The Address (Global) parse definition has been replaced with a copy of the Address (Global) (v23) definition which takes advantage of the new tokens and updated processing. If you changed your jobs to use Address (Global) (v23) it is suggested that you change them back.

Address (Global) (v23)
Description	The Address (Global) (v23) parse definition parses addresses into a globally recognized set of tokens.
Output Tokens	Recipient Building/Site Street Extension PO Box Additional Info
Example 1	Input	Output
	1051 3RD FLOOR MAHAVIR BHAWAN,SITA RAM NAGAR,NEW DELHI 200021	Recipient
		Building/Site	MAHAVIR BHAWAN
		Street	SITA RAM NAGAR
		Extension	1051 3RD FLOOR
		PO Box
		Additional Info	NEW DELHI 200021
Example 2	Input	Output
	61 SAWYAM SIDHA COLONY WEST AVEVUE ROAD ,NEW DELHI	Recipient
		Building/Site	SAWYAM SIDHA COLONY
		Street	WEST AVEVUE ROAD
		Extension	61
		PO Box
		Additional Info	NEW DELHI
Example 3	Input	Output
	D-54 IST FLOOR, BATLA HOUSE, OKHLA ,NEW DELHI	Recipient
		Building/Site	BATLA HOUSE
		Street	OKHLA
		Extension	D-54 IST FLOOR
		PO Box
		Additional Info	NEW DELHI
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.
Remarks	The Address (Global) (v23) parse definition is now deprecated and will be removed in a future release of the QKB. The Address (Global) parse definition has been replaced with a copy of the Address (Global) (v23) definition which takes advantage of the new tokens and updated processing. If you changed your jobs to use Address (Global) (v23) it is suggested that you change them back.

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	City PinCode State/Union Territory
Example	Input	Output
	Buria Mizoram - 110025	City	Buria
		PinCode	110025
		State/Union Territory	Mizoram
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
	Buria Mizoram - 110025	City	Buria
		State/Province	Mizoram
		Postal Code	110025
		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 Given Name Middle Name Family Name Suffix Title/Additional Info
Example 1	Input	Output
	Mrs. Asha A Ghelani	Prefix	Mrs.
		Given Name	Asha
		Middle Name	A
		Family Name	Ghelani
		Suffix
		Title/Additional Info
Example 2	Input	Output
	Jason Santosh Rebello,CTO Accenture India	Prefix
		Given Name	Jason
		Middle Name	Santosh
		Family Name	Rebello
		Suffix
		Title/Additional Info	CTO Accenture India
Example 3	Input	Output
	Mrs. Tina Peter D'mello Jr.	Prefix	Mrs.
		Given Name	Tina
		Middle Name	Peter
		Family Name	D'mello
		Suffix	Jr.
		Title/Additional Info
Remarks

Name (Matching)
Description	The Name (Matching) parse definition parses names of individuals into a set of tokens.
Output Tokens	Prefix Given Name Middle Name Family Name Suffix Title/Additional Info
Example 1	Input	Output
	Mrs. Asha A Ghelani	Prefix	Mrs.
		Given Name	Asha A
		Middle Name
		Family Name	Ghelani
		Suffix
		Title/Additional Info
Example 2	Input	Output
	Jason Santosh Rebello,CTO Accenture India	Prefix
		Given Name	Jason Santosh
		Middle Name
		Family Name	Rebello
		Suffix
		Title/Additional Info	CTO Accenture India
Example 3	Input	Output
	Mrs. Tina Peter D'mello Jr.	Prefix	Mrs.
		Given Name	Tina Peter
		Middle Name
		Family Name	D'mello
		Suffix	Jr.
		Title/Additional Info
Remarks	This definition is currently used by the Name match definition. All given names are parsed into the Given Name token, and the Middle Name token is never used.

Name (with Extensions)
Description	The Name (with Extensions) parse definition parses names of individuals into a set of tokens.
Output Tokens	Prefix Extension Initial 1 Extension Initial 2 Extension Initial 3 Extension Initial 4 Given Name Given Name Extension Middle Name Middle Name Extension Family Name Suffix Title/Additional Info
Example 1	Input	Output
	Mr. Yogesh Kumar Mahesh Kumar Chabbaria, President	Prefix	Mr.
		Extension Initial 1
		Extension Initial 2
		Extension Initial 3
		Extension Initial 4
		Given Name	Yogesh
		Given Name Extension	Kumar
		Middle Name	Mahesh
		Middle Name Extension	Kumar
		Family Name	Chabbaria
		Suffix
		Title/Additional Info	President
Example 2	Input	Output
	Mrs. F D Devi Pratap Rajput	Prefix	Mrs.
		Extension Initial 1	F
		Extension Initial 2	D
		Extension Initial 3
		Extension Initial 4
		Given Name	Devi
		Given Name Extension
		Middle Name	Pratap
		Middle Name Extension
		Family Name	Rajput
		Suffix
		Title/Additional Info
Example 3	Input	Output
	Mr. V V S Laxman Narayan Nayar, CEO ICICI	Prefix	Mr.
		Extension Initial 1	V
		Extension Initial 2	V
		Extension Initial 3	S
		Extension Initial 4
		Given Name	Laxman
		Given Name Extension
		Middle Name	Narayan
		Middle Name Extension
		Family Name	Nayar
		Suffix
		Title/Additional Info	CEO ICICI
Remarks

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
	Mr. Dinkar Sathe	Prefix	Mr.
		Given Name	Dinkar
		Middle Name
		Family Name	Sathe
		Suffix
		Title/Additional Info
Example 2	Input	Output
	Mr. Deepak Keshavji Chheda	Prefix	Mr.
		Given Name	Deepak
		Middle Name	Keshavji
		Family Name	Chheda
		Suffix
		Title/Additional Info
Example 3	Input	Output
	Mrs. Dyna Peter D'souza, Vice President	Prefix	Mrs.
		Given Name	Dyna
		Middle Name	Peter
		Family Name	D'souza
		Suffix
		Title/Additional Info	Vice President
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.

Phone
Description	The Phone parse definition parses phone numbers into a set of tokens.
Output Tokens	Prefix Country Code Area Code Base Number/Cell Number Extension Word Extension Suffix Additional Info
Example 1	Input	Output
	+91-2027290597 x 211	Prefix
		Country Code	+91
		Area Code	20
		Base Number/Cell Number	27290597
		Extension Word	x
		Extension	211
		Suffix
		Additional Info
Example 2	Input	Output
	6422381/6431746	Prefix
		Country Code
		Area Code
		Base Number/Cell Number	6422381
		Extension Word
		Extension
		Additional Info	6431746
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	Input	Output
	+91-2027290597 x 211	Country Code	+91
		Area Code	20
		Base Number	27290597
		Extension	211
		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
	B/8 Kapol Soc Marve Rd Malad Mumbai	B/8, Kapol Society, Marve Road, Malad, Mumbai
	B/8 Jimit Apt Marve Road Bangur Ngr Goregaon East	B/8, Jimit Apartment, Marve Road, Bangur Nagar, Goregaon East
Remarks	This standardization definition performs context-specific transformations based on an internal parse of the input data string. Successful parsing is vital to achieve accurate results for the standardization. However, the complexity of Indian addresses makes parsing difficult in many cases. Therefore, we recommend the following method for standardizing Indian addresses: 1. Parse address strings using the Address Parse definition. Store the result code for the parse along with the parse output. 2. Separate the parsed output in two branches. One branch should contain the output for successful parses (result code OK). The other branch should contain the output for unsuccessful parses (result codes NO SOLUTION and ABANDONED). 3. Standardize the successfully parsed records using the Address Standardization definition. (It is recommended that you input the pre-parsed token values into the Standardization definition to avoid a time-consuming internal parse.) 4. Standardize the records in the second branch using the Address (Generic) Standardization definition. 5. Merge the standardized results from each branch. For further information about address parsing, please review the documentation for the Parse definition for Address (Remarks section).

Address (Generic)
Description	The Address (Generic) standardization definition standardizes addresses.
Examples	Input	Output
	B/8 Kapol Soc Marve Rd Malad Mumbai	B/8 Kapol Society Marve Road Malad Mumbai
	B/8 Jimit Apt Marve Road Bangur Ngr Goregaon East	B/8 Jimit Apartment Marve Road Bangur Nagar Goregaon East
Remarks	This standardization definition for Address (Generic) performs only simple transformations; it does not attempt complex transformations based on internal parsing. It is recommended for use when standardizing addressess that cannot be parsed successfully. For more information, refer to the Standardization definition for Address (Remarks section). In some cases, if changing the data before parsing is appropriate, you may get better parse results if you standardize the data using this definition before doing the parse.

City
Description	The City standardization definition standardizes city names.
Examples	Input	Output
	Bombay	Mumbai
	Calcutta	Kolkatta
Remarks	Common city abbreviations are expanded into full names.

City - State/Province - Postal Code
Description	The City - State/Province - Postal Code standardization definition standardizes last line address information.
Examples	Input	Output
Examples	Faridabad Uttaranchal - 110034	Faridabad, 110034, Uttaranchal
Remarks

Name
Description	The Name standardization definition standardizes names of individuals.
Examples	Input	Output
	CEO Nishit V Shah	Nishit V Shah, CEO
	Professor Ranjan Verma	Prof Ranjan Verma
Remarks

Phone
Description	The Phone standardization definition standardizes phone numbers for domestic use.
Examples	Input	Output
	91 22-6983000	+91-22-6983000
	911452572 ext. 45	+91-14-52572 X 45
Remarks

PinCode
Description	The PinCode standardization definition standardizes postal codes.
Example	Input	Output
Example	PO411006	PO 411006
Remarks

Postal Code
Description	The Postal Code standardization definition standardizes postal codes.
Example	Input	Output
Example	PO411006	PO 411006
Remarks	This is the same behavior as PinCode. This Standardization definition allows you to invoke postal code standard across locales with a single definition call, because a definition with this name is implemented on all locales.

State
Description	The State standardization definition standardizes state and union territory names.
Examples	Input	Output
	A.P.	Andhra Pradesh
	nicobar	Andaman and Nicobar Islands
Remarks

Inherited Definitions

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