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The project stems from the motivation of a group of key international
organizations such as UNESCO, ITU, Organisation Internationale de la
Francophonie (OIF) and Union Latina and will be built on the professional
experience of some MAAYA (the World Network for Linguistic Diversity)
members such as Funredes or the Language Observatory Project.
Results and Impact
DILINET will provide the crosschecked and validated values for a set of indicators
of linguistic diversity in cyberspace, as well as trustable and sustained methods
and processes to maintain a frequent production allowing perceiving the trends
and being able to gauge the results of policy actions. Additionally, DILINET will
provide effective awareness raising and training activities for policy and research
stakeholders on the matter of linguistic diversity on cyberspace.
DILINET will represent a historic breakthrough for the issue of linguistic
diversity in the Digital World opening the floor for a professional approach to this
emerging theme and, as a side effect, contributing to the change of paradigm of
the vision of the digital divide, switching the perspective from access to content.
Indirectly, DILINET will also open new promising avenues for the production
of Information Society Impact Indicators and create opportunities for the
professional consideration of languages as a key parameter of the digital economy.
References
1. D. Pimienta, D. Prado, Á. Blanco, Twelve years of measuring
linguistic diversity in the Internet: balance and perspectives.
UNESCO, 2009. Retrieved from: http://unesdoc.unesco.org/
images/0018/001870/187016e.pdf.
2. ITU, Measuring the Information Society: the ICT Development Index,
ISBN 92-61-12831-9, 2009.
3. J. Paolillo, D. Pimienta, D. Prado, et al. Measuring Linguistic Diversity on
the Internet. UNESCO, 12/2005. Retrieved from: http://unesdoc.unesco.
org/images/0014/001421/142186e.pdf.
4. Suzuki I., Mikami Y., and al. “A Language and Character Set Determination
Method Based on N-gram Statistics”, in ACM Transactions on Asian
Language Information Processing, Vol.1, No.3, September 2002, pp.270–279.
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