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Download - Российский комитет Программы ЮНЕСКО ...

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at measuring the linguistic diversity in the Internet are being undermined by<br />

the almost infinite size of the web as well as by the evolution of search engines.<br />

Accordingly, no reliable indicators have been produced since 2007, when the<br />

Language Observatory Project (LOP) 6 and Funredes/ Union Latina, the two<br />

most visible actors in producing indicators, published their most recent results.<br />

In this context, and starting from the fact that it is hardly possible to formulate<br />

policies in any field without a clear vision of the situation, only obtained from<br />

reliable and frequently produced indicators, it is urgent to mobilize existing<br />

actors and to encourage new ones to engage in an ambitious, serious and<br />

collective research effort of building indicators for linguistic diversity in<br />

the Digital World. This effort should both build on existing approaches and<br />

explore new methods rather than those involving a static vision of supplied<br />

linguistic resources, thus also informing on the demand side (user behavior).<br />

DILINET will also introduce the first attempt to measure automatically<br />

content characteristics while recognizing languages and use conceptual maps<br />

and visual analytics to extract meaning to statistical data on languages in the<br />

digital world.<br />

Project Description<br />

In response to this context, the DILINET project aims to develop a set of<br />

methods for producing indicators of linguistic diversity on the Internet which<br />

will therefore support informed public policies in all fields related to the<br />

Information Society, at national and global level.<br />

DILINET will adopt an exploratory research approach, taking into account<br />

existing measuring methods and adding innovative approaches, including<br />

users-based measuring systems. To overcome the limitations created by the size<br />

of the Web, the project will develop crawling optimization methods based on<br />

non sequential mathematical or statistical approaches and use both distributed<br />

and super computing resources while opening new avenues such as recognition<br />

techniques for voice or automatic content characterization.<br />

Given the transversal relevance of the theme, the project will devote effort<br />

in engaging all the relevant stakeholders from the policy field (at regional,<br />

national, European and international level) and from the research field (both<br />

with public and private background). Specific attention will be paid to raising<br />

awareness and disseminating project results among users’ communities and<br />

organizations working in the sphere of linguistic technologies.<br />

6<br />

Language Observatory Project — http://www.language-observatory.org/. See reference [4].<br />

57

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