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Record
Title
HMS: A Predictive Text Entry Method using Bigrams
Type
Conference Proceeding/Paper
Publ. year
2003
Author/s
Hasselgren, Jon; Montnemery, Erik; Svensson, Markus; Nugues, Pierre
Department/s
Department of Computer Science; Robotics and Semantic Systems
In LUP since
2016-04-04
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693 1 0
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United States of America 144 (21%)
Germany 130 (19%)
India 77 (11%)
United Kingdom of Great Britain and Northern Ireland 44 (6%)
China 41 (6%)
Sweden 19 (3%)
Ethiopia 15 (2%)
Canada 14 (2%)
Hong Kong (China) 14 (2%)
Indonesia 11 (2%)
Ukraine 11 (2%)
France 11 (2%)
Russian Federation 10 (1%)
Spain 9 (1%)
Australia 7 (1%)
Netherlands (Kingdom of the) 6 (1%)
South Korea 6 (1%)
Malaysia 5 (1%)
Israel 5 (1%)
Thailand 5 (1%)
Pakistan 5 (1%)
Philippines 5 (1%)
Finland 5 (1%)
Italy 5 (1%)
European Union location 5 (1%)
Viet Nam 4 (1%)
Sierra Leone 4 (1%)
Brazil 4 (1%)
Singapore 3 (0%)
Sudan 3 (0%)
Romania 3 (0%)
Croatia 3 (0%)
Poland 3 (0%)
Iran 2 (0%)
Kenya 2 (0%)
Switzerland 2 (0%)
Czechia 2 (0%)
Ireland 2 (0%)
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Zimbabwe 2 (0%)
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Japan 2 (0%)
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Asia-Pacific location 2 (0%)
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Mexico 1 (0%)
Cabo Verde 1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Fri Jul 26 08:38:05 2024