Country/Language Selectors Matter: A Call to Build and Implement - - PowerPoint PPT Presentation

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Country/Language Selectors Matter: A Call to Build and Implement - - PowerPoint PPT Presentation

Country/Language Selectors Matter: A Call to Build and Implement Common Translation and Country-Language Selector Repository Han-Teng Liao Oxford Internet Institute University of Oxford hanteng@gmail.com For Riga Summit 2015 What is a


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Country/Language Selectors Matter:

A Call to Build and Implement Common Translation and Country-Language Selector Repository For Riga Summit 2015

Han-Teng Liao Oxford Internet Institute University of Oxford hanteng@gmail.com

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What is a Language Selector(or Switcher)?

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What is a Country Selector (or Switcher)?

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Why they matter?

First step

for users to select the preferred interface

A paradox of choice

More options could mean higher cognitive cost for

users to find the language they want

European Commission’s Information Providers Guide (IPG)

states that

“Language selection tool is mandatory…”

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Why they matter?

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…even within Chinese Wikipedia

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PhD Data Intensive Work comparing Chinese Wikipedia and Baidu Baike

All pages (2,500,000+) and all external links (2,000,000+)

inside both encyclopedias

270,000 web links parsed and analysed based on 3000 queries

  • f search engine result pages across nine Chinese search

engine variants

60,000+ Sina Weibo and Twitter microblog posts Chinese and East Asian Internet Penetration Rates (historical

data)

Geographic distribution of power users in both encyclopedias

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What’s wrong?

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Inconsistent choice between names

Official names

"Korea, Republic of“ vs “Republic of Korea” “China, Republic of” vs “Republic of China” “Taiwan, Province of China”

Customary names

South Korea Taiwan Taiwan

What’s in a name? Country names are technical, cultural and political.

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Collations

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What are the possible solutions?

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Unicode Collation Charts:

http://www.unicode.org/charts/uca/

Unicode CLDR

Preferences on Customary names over

Official names

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Suggestions

Consistent collation in Web design Autocomplete based on both codes and names Complete world coverage for templates

EU official language and member state subsets Geographic categorization schemes

Separation of languages and states (flags)

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Source: http://flagsarenotlanguages.com/blog/

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Source: http://flagsarenotlanguages.com/blog/

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Implications

Best practices needed

for presenting a list of languages (and countries) for users to select their target language (and country)

Pooling resources Information literacies promoted

  • n the use of language codes and country codes
  • n the difference between customary vs. official

names

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Thank you

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PhD Data Intensive Work comparing Chinese Wikipedia and Baidu Baike

All pages (2,500,000+) and all external links (2,000,000+)

inside both encyclopedias

270,000 web links parsed and analysed based on 3000 queries

  • f search engine result pages across nine Chinese search

engine variants

60,000+ Sina Weibo and Twitter microblog posts Chinese and East Asian Internet Penetration Rates (historical

data)

Geographic distribution of power users in both encyclopedias

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Percentage of visibility scores: encyclopedia sites among the top-10

C ategories

Baidu ¡ C N Y ahoo ¡ C N G oogle ¡ C N G oogle ¡ SG Y ahoo ¡ SG G oogle ¡ H K G oogle ¡ T W Y ahoo ¡ H K Y ahoo ¡ T W

The ¡C ambridge ¡ Encyclopedia ¡of ¡ C hina Top ¡10 ¡Search ¡ Terms ¡(Google ¡ and ¡Baidu) Best ¡ Film/Popular ¡ Music ¡(C hina, ¡ H ong ¡K ong, ¡ Taiwan) Modern ¡C oncepts ¡ (shared ¡with ¡

wikipedia.org baidu.com 0% 50% 100% 0% 50% 100% 0% 50% 100% 50% 100%