Named Entity Recognition Grammars Package 25.2
Named Entity Recognition Grammars User Guide

# Entities supported for the country tw

The following entities are supported for the country tw (Taiwan)

entity | description | example
--- | --- | ---
address | A postal address. In general, a score of one is given to an address that includes a numbered, common format street address (for example "23 North Road"), a known city (for example "London"), and a postal code in a viable format for the country (for example "SW1A 2AA"). Deviations from this form lead to score penalties. The ordering of these elements varies by country. OpenText recommends that you use prefiltering to improve the performance for this grammar. See Configure Prefiltering. This entity returns the addresses in a normalized format by default. The normalized form standardizes apartment and house numbers, expands shortened forms of region names, removes additional punctuation, and converts the text to uppercase. For example "ABIDEI HURRIYET CD TANER PALAS APT 9, KAT:7, D:9, 34437 ISTANBUL". The exact order depends on the country. You can turn off normalization by setting normalize_addresses=false in the address_stoplist.lua script. This option can improve performance when you do not need normalization. | B1F., No.20, Jingye 3rd Rd., Zhongshan Dist., Taipei City 104 No.30, Minguo Rd., Hualien City, Hualien County 970 No.5-1, Minquan Rd., Tamsui Dist., New Taipei City 251 No.55, Sec. 2, Jinshan S. Rd., Daan Dist., Taipei City 10603 No.6, Aly. 5, Ln. 70, Yanji St., Da’an Dist., Taipei City 106, Taiwan (R.O.C.) PO Box 118-140, Taipei 105, TAIWAN 台東關東河鄉都蘭村42鄰431之2號 １０６０３台北市大安區金山南路２段５５號
address/country/context | A country, with context. | Country: Taiwan (ROC) 国: 中華民國
address/country/landmark | A country landmark. | Country 国
address/country/nocontext | A country, without context. | Taiwan (ROC) 中華民國
address/country/nocontext/cjkvt | A country in CJKVT native script, without context. | 中華民國
address/country/nocontext/latin | A country in romanized text, without context. | Taiwan (ROC)
address/landmark | A postal address landmark. | Address 住址
address/postcode/context | A postal code, with context. | 郵遞區號: 106-409
address/postcode/landmark | A postal code landmark. | 郵遞區號
address/postcode/nocontext | A postal code, without context. | 106-409
address/region/context | A region, with context. For Taiwan, this is a county (縣 xiàn) or municipality (市 shì). | County: Taipei City 縣市: 臺北市
address/region/landmark | A region landmark. | County 縣市
address/region/nocontext | A region in CJKVT native script or romanized text, without context. | Taipei City 臺北市
address/region/nocontext/cjkvt | A region in CJKVT native script, without context. | 臺北市
address/region/nocontext/latin | A region in romanized text, without context. | Taipei City
address/settlement/context | A settlement, with context. For example, in Japan a town or city, or in Taiwan a district (區 qū) or township (鎮 zhèn/鄉 xiāng). | District: Beigan Township District: Wanhua Dist. District: Wongan Village, Puzi 鄉鎮市區: 大安區
address/settlement/landmark | A settlement landmark. | District 鄉鎮市區
address/settlement/nocontext | A settlement in CJKVT native script or romanized text, without context. | Beigan Township Wanhua Dist. Wongan Village, Puzi 大安區
address/settlement/nocontext/cjkvt | A settlement in CJKVT native script, without context. | 七美鄉三联村里 大安區 太保市
address/settlement/nocontext/latin | A settlement in romanized text, without context. | Beigan Township Wanhua Dist. Wongan Village, Puzi
address/streetlocation/context | A street location (house number and street name), with context. | Address 1: 1F., No.24, Ln. 559, Sec. 4, Zhongxiao E. Rd. Address 1: No.30, Minguo Rd., Hualien City Address 1: No.6, Aly. 5, Ln. 70, Yanji St., Da’an Dist. Address 1: PO Box 118-140, Taipei 住址: 台北市大安區金山南路２段５５號 住址: 台東關東河鄉都蘭村42鄰431之2號 住址: 和平東路二段118巷62號2樓
address/streetlocation/landmark | A street location landmark. | Address 1 住址
address/streetlocation/nocontext | A street location (house number and street name), without context. | 1F., No.24, Ln. 559, Sec. 4, Zhongxiao E. Rd. No.30, Minguo Rd., Hualien City No.6, Aly. 5, Ln. 70, Yanji St., Da’an Dist. PO Box 118-140, Taipei 台北市大安區金山南路２段５５號 台東關東河鄉都蘭村42鄰431之2號 和平東路二段118巷62號2樓
address/streetlocation/nocontext/cjkvt | An address first line in CJKVT native script, without context. | 台北市大安區金山南路２段５５號 台東關東河鄉都蘭村42鄰431之2號 和平東路二段118巷62號2樓 彰化縣員林市大同路一段470號 彰化郵局第456號信箱 臺北市士林區天母東路50巷10弄6號
address/streetlocation/nocontext/latin | An address first line in romanized text, without context. | 1F., No.24, Ln. 559, Sec. 4, Zhongxiao E. Rd. No.30, Minguo Rd., Neighborhood 2, Hualien City No.5-1, Minquan Rd., Tamsui Dist., New Taipei City No.6, Aly. 5, Ln. 70, Yanji St., Da’an Dist. No.83, Siyu Rd., Baijiu Village, Luodong Township PO Box 118-140, Taipei
banking/swiftcode/context | A SWIFT/BIC code, with context. | SWIFT code: XXXXTW00BBB
banking/swiftcode/nocontext | A SWIFT/BIC code, without context. | XXXXTW00BBB
driving/context | A driving license number with context. This entity matches both the driving license number, and the personal number or driver number, if present. On the standard European driving license, these are fields 5 and 4d.1 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | 駕駛執照: A123456789
driving/landmark | A driving license landmark. | 駕駛執照
driving/nocontext | A driving license number, without context.2 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | A123456789
health/id/context | A health number with context. This entity gives a lower score to matches with more ambiguous landmarks (such as 番号 and "Number"). However, if two matches occur together (for example "記号 21700023 番号 21"), the entity can match both with a higher score. | 健保卡: A123456789
health/id/landmark | A health number landmark. | 健保卡
health/id/nocontext | A health number, such as a British NHS number, French Carte Vitale number or Japanese Health Insurance Card number, without context. | A123456789
id/context | A national identity number with context. For information about the supported ID numbers, see Supported National ID Numbers. | 身份證字號: A123456789 身份證字號: HD12345678
id/landmark | A national identity number landmark.3 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | 身份證字號
id/nocontext | A national identity number without context. For information about the supported ID numbers, see Supported National ID Numbers.4 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | A123456789 HD12345678
internet/email/context | An email address, with context. | 電郵: jsmith@mailserver.com
internet/email/landmark | An email address landmark. | 電郵
internet/email/nocontext | An email address, without context. | jsmith@mailserver.com
name | A full personal name. Romanized names can be in title case or upper case, and can be in the order given name surname or surname given name. CJKVT native script names must be surname given name. For Japanese, either form can include honorifics.5 This entity returns the names in a normalized format, in the form GIVEN NAME SURNAME, for example JOHN SMITH. You can turn off normalization by setting normalize_names=false in the name_stoplist.lua script. You can also turn off score adjustment, by setting rescore_names=false in the name_stoplist.lua script. This option can improve performance when you do not need the normalization or score refinement. | Kao Wei Mr C. Hsu Yui Huang QC 劉佳穎
name/cjkvt | A full personal name in CJKVT native script. | 劉佳穎老師
name/given_name/context | A given name with context. For CJKVT the context landmark should be in CJKVT native script. | 名称: Cindy 名称: 佳穎
name/given_name/context/cjkvt | A given name in CJKVT native script, with context. | 名称: 佳穎
name/given_name/context/latin | A romanized given name, with a context landmark in CJKVT native script. | 名称: Cindy
name/given_name/landmark | A given name landmark. For CJKVT it will be in native script. | 名称
name/given_name/nocontext | A given name, without context. | Cindy 佳穎
name/given_name/nocontext/cjkvt | A given name in CJKVT native script, without context. | 佳穎
name/given_name/nocontext/cjkvt_spaced | A given name in CJKVT native script, separated by spaces, and without context. This entity is primarily to allow you to create patterns that match alternative name formats. | 俊 麟
name/given_name/nocontext/latin | A romanized given name, without context. | Cindy
name/landmark | A full name landmark. | 名稱
name/latin | A romanized full personal name. | Kao Wei Mr C. Hsu Yui Huang QC
name/post_title | A title that follows a name. | QC
name/post_title/nocontext | A title that follows a name in romanized text, or CJKVT native script. | Esquire QC 女士 子
name/post_title/nocontext/cjkvt | A title that follows a name in CJKVT native script. | 女士 子
name/post_title/nocontext/latin | A title that follows a name in romanized text. | Esquire QC
name/pre_title | A title that precedes a name. | Mr
name/pre_title/nocontext | A title that precedes a name in romanized text. | Dr Mr
name/surname/context | A surname with context. For CJKVT the landmark will be in native script | 姓: Hsu 姓: 劉
name/surname/context/cjkvt | A surname in CJKVT native script, with context. | 姓: 劉
name/surname/context/latin | A romanized surname, with a context landmark in CJKVT native script. | 姓: Hsu
name/surname/landmark | A surname landmark. | 姓
name/surname/nocontext | A surname without context. | Hsu 劉
name/surname/nocontext/cjkvt | A surname in CJKVT native script, without context. | 劉
name/surname/nocontext/cjkvt_spaced | A given name in CJKVT native script, separated by spaces, and without context. This entity is primarily to allow you to create patterns that match alternative name formats. |
name/surname/nocontext/latin | A romanized surname, without context. | Hsu
name/title_surname | A title and surname. | Dr Hsu 許醫生
name/title_surname/cjkvt | A title and surname in CJKVT native script. | 許醫生
name/title_surname/latin | A title and surname in romanized text. | Dr Hsu
nationality/adj/context | A nationality adjective with context. | 國籍: 台灣人
nationality/adj/landmark | A nationality adjective landmark. | 國籍
nationality/adj/nocontext | A nationality adjective without context. | 台灣人
nationality/any/context | Any combination of nationality adjective and noun landmark and value. | 國籍: 台灣人
nationality/any/landmark | Any nationality adjective or landmark. | 國籍
nationality/any/nocontext | Any nationality adjective or noun. | 台灣人
nationality/noun/context | A nationality noun with context. | 國家: 臺灣
nationality/noun/landmark | A nationality noun landmark. | 國家
nationality/noun/nocontext | A nationality noun without context. | 臺灣
passport/context | A passport number with context. | 护照: 378945612
passport/landmark | A passport landmark. For information about cases where the landmark and passport number do not match or have an ambiguous match, see Ambiguous Entities. | 护照
passport/nocontext | A passport number without context. | 378945612
postcode/context | A postal code with context. | 郵遞區號: 106-409
postcode/landmark | A postal code landmark. | 郵遞區號
postcode/nocontext | A postal code without context. | 106-409
telephone/context | A telephone number with context. For the telephone_cjkvt grammar, numbers can be ASCII or full-width numbers. This entity returns the telephone number in the normalized format +NNNNN, starting with the country code. For example +12012224344.6 To ensure that this entity performs correctly, set your TangibleCharacters configuration to include the following characters: ()+-. For more information, see Configure Tangible Characters. | 电话: 0425 60 9230
telephone/landmark | A telephone number landmark. For the telephone_cjkvt grammar, landmarks are available only in CJKVT native script. | 电话
telephone/nocontext | A telephone number without context. For the telephone_cjkvt grammar, numbers can be ASCII or full-width numbers. This entity returns the telephone number in the normalized format +NNNNN, starting with the country code. For example +12042439955.7 To ensure that this entity performs correctly, set your TangibleCharacters configuration to include the following characters: ()+-. For more information, see Configure Tangible Characters. | +886 425 60 9230 0425 60 9230
tin/context | A tax identification number with context. For more examples, see Example Tax Identification Numbers.8 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | 身份證字號: A123456789
tin/landmark | A tax identification number landmark. | 身份證字號
tin/nocontext | A tax identification number without context. For more examples, see Example Tax Identification Numbers.9 By default, when there are multiple possible matches, post-processing returns only one country, which is the most efficient option. You can enable ambiguous entity matching by setting ambiguous_entities=true in the pii_postprocessing.lua script. This option returns multiple possible country matches. | A123456789

In the tables, ✔️ indicates that the item is always used, and ❌ that the item is never used. The ✓ symbol indicates that the item is only used for some entities (that is, for some but not all countries or languages). For details, refer to the relevant entity page.

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Product: Named Entity Recognition Grammars Package 25.2

Topic Title: Entities supported for the country tw