SlideShare a Scribd company logo
Leveraging global dictionary content on digital
platforms
#W_F_Disrupt @NyZach1
Oxford’s global reach:
• OUP publishes in 70 languages
• More than 190 countries
#W_F_Disrupt @NyZach1
Our mission
Oxford University Press (OUP) is a department of the University of Oxford. It furthers the University's
objective of excellence in research, scholarship, and education through its worldwide publishing.
The OED in two minutes
http://agendr.org/static/twominuteoed/
An interactive animation
exploring when and how
words entered the English
language, and how the
lexicon as a whole
developed as a result. This
exploits date, etymology,
and frequency information
across the OED dataset.
#W_F_Disrupt @NyZach1
#W_F_Disrupt @NyZach1
Example applications: Historical
frequency data
7
http://oedfrequency.agendr.org/r/home
Username: demo / Password: XCZt9fLr
This aggregates historical word-
frequency data from a number of
corpora and other resources, such as
the Google Books Ngrams data, and
maps this data to OED lemmas.
This enables the user to explore how
words have changed in frequency over
time, to compare frequency change for
different words, and to rank sets of OED
entries by frequency (now or at any
point back to 1750).
Example applications:
Text metrics
8
http://wordrobot.com/apps/textmetrics/home
Username: demo / Password: XCZt9fLr
This application takes a piece of text – historical
or modern – and maps each word to OED data in
order to explore and visualize the author’s style,
choice of vocabulary, use of neologisms, etc.
It can even rewrite pieces of
text using alternative
vocabulary from different
historical periods. Try
turning ‘Call me Maybe’
into a medieval lyric:
Example applications:
mapping metaphor
9
A University of Glasgow and Arts
and Humanities Research Council
project that uses systematic
patterns in the history of English to
track the emergence of concepts
and metaphorical associations at a
cognitive and cultural level.
http://mappingmetaphor.arts.gla.ac.uk/
Example applications:
surf speak
10
An interactive timeline of surfing vocabulary, illustrating how specialist sub-lexicons and
terminologies can be extracted from the OED.
http://public.oed.com/media/surfing-timeline/
Oxford Dictionaries Data: Beyond the
Page
Presentation name Presenter Name and
Date
11
Oxford Global
Language Solutions
Oxford Global Languages
Oxford Dictionaries:
To enable rich, diverse language communication in the digital age
www.oed.com www.oxforddictionaries.com
API & Developer Program http://en.bab.la/dictionary
#W_F_Disrupt @NyZach1
http://www.nytimes.com/2011/10/09/business/steve-jobs-and-the-power-of-taking-the-big-chance.html
#W_F_Disrupt @NyZach1
Amazon Kindle
Some of our licensing partners:
Oxford Global Language Solutions
Available monolingual datasets
NB: These statistics do not include stemming, which would add thousands of headwords to each language if considered separately.
Language No. of headwords No. of definitions
Arabic 7,059 56,000
Bulgarian 20,000 36,000
Catalan 55,000 117,000
Chinese (simplified) 73,000 96,000
Chinese (traditional) 50,000 67,000
Croatian 69,000 169,000
Czech 110,000 85,000
Danish 100,000 61,000
Dutch 69,000 87, 000
English (UK) 90,000 350,000
English (US) 90,000 350,000
Finnish 100,000 100,000
French 30,000 53,000
German 182,000 229,000
Greek 50,000 150,000
Hebrew 77,000 104,000
Hindi 70,000 96,000
Language No. of headwords No. of definitions
Hungarian 75,000 150,000
Indonesian 36,000 59,000
Italian 96,000 145000
Japanese 65,000 89,000
Korean 301,000 368,000
Latvian 30,000 27,000
Malay 20,000 20,000
Norwegian 81,500 86,000
Polish 100,000 130,000
Portuguese 228,500 376,500
Romanian 67,000 100,000
Russian 41,000 100,000
Slovenian 93,000 133,000
Spanish 53,000 119,000
Swedish 68,000 137,000
Thai 38,000 38,000
Turkish 100,000 119,000
Vietnamese 45000 53,000
17
18
19
Powered by Oxford Dictionaries
20
https://research.googleblog.com/2017/01/a-large-corpus-for-
supervised-word.html
“If you talk to a man in a language he understands,
it goes to his head. If you talk to him in his
language, it goes to his heart.”
- Nelson Mandela
#W_F_Disrupt @NyZach1
Hindi, 41.1%
Bengali, 8.1%Telugu, 7.2%
Marathi, 7.0%
Tamil, 5.9%
Urdu, 5.0%
Gujarati, 4.5%
Kannada, 3.7%
Malayalam, 3.2%
Odia, 3.2%
Punjabi, 2.8%
Assamese, 1.3%
Others, 7.0%
Native speakers: distribution by
language (2001 census)
Among top 20 world languages
• Hindi
• Bengali
• Telugu
• Marathi
• Tamil
• Urdu
#W_F_Disrupt @NyZach1
Most common content languages for websites
"Usage of content languages for websites". W3Techs.com.
Retrieved 24 March 2015.
• Internet connectivity
continues to grow
• But the internet is
dominated by a few, large
languages
• This creates a “Digital
Divide”
• This is a global issue
Oxford Global Languages
Aims and objectives
#W_F_Disrupt @NyZach1
https://www.oxforddictionaries.com/ogl/find
isiZulu Romanian
Gujarati
Northern Sotho Latvian
Tatar
Malay Swahili
isiXhosa
Urdu Hindi
Southern Quechua
Indonesian
Tamil Tajik
Setswana
#W_F_Disrupt @NyZach1
https://india.googleblog.com/2017/04/bringing-down-language-barriers-
making.html
Hindi Word of the Year
February 2018
• In January, Oxford Dictionaries announced the first
Hindi Word of the Year as ‘aadhaar’.
• The term has recently become used to refer to the
controversial 12-digit unique identification number
issued to all Indians by the government.
#W_F_Disrupt @NyZach1
https://timesofindia.indiatimes.com/india/aadhaar-is-the-hindi-word-of-the-year-for-
2017/articleshow/62673933.cms
https://developer.oxfhttps://developer.oxforddicti
onaries.com/orddihttps://developer.oxforddictio
naries.com/ctionaries.com/
#W_F_Disrupt @NyZach1
https://developer.oxforddictionaries.com/
http://www.adweek.com/digital/words-with-friends-new-languages-fast-play-hit-zyngas-word-
game/ #W_F_Disrupt @NyZach1
#W_F_Disrupt @NyZach1
https://developer.oxforddictionaries.com/our-data
https://thenextweb.com/artificial-intelligence/2017/06/19/facebooks-ai-
accidentally-created-its-own-language/#.tnw_zsMP0RZU
36
https://qz.com/779821/ios-10-why-the-duck-wont-apple-aapl-let-iphone-
software-learn-to-autocorrect-swear-words/
“…autocorrectis ducking frustrating…
#W_F_Disrupt @NyZach1

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Zachery Haynes @Oxford Uni Press