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024 7 $a10.1007/978-3-642-45372-4
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035   $a(EBL)1697774
035   $a(OCoLC)870310109
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035   $a(PQKBTitleCode)TC0001187630
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035   $a(DE-He213)978-3-642-45372-4
035   $a(PPN)176118152
035   $a(EXLCZ)992550000001199679
100   $a20140127d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 14$aThe Welsh Language in the Digital Age /$fedited by Georg Rehm, Hans Uszkoreit
205   $a1st ed. 2014.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014.
215   $a1 online resource (81 p.)
225 1 $aWhite Paper Series,$x2194-1416
300   $aDescription based upon print version of record.
311   $a3-642-45371-6 
320   $aIncludes bibliographical references.
327   $a1.Executive Summary -- 2.Languages at risk: a challenge for Language Technology -- 3.The Welsh Language in the European Information Society -- 4.Language Technology Support for Welsh -- 5.About META-NET -- References -- META-NET Members -- The META-NET White Papers Series.
330   $aThis white paper is part of a series that promotes knowledge about language technology and its potential. It addresses educators, journalists, politicians, language communities and others. The availability and use of language technology in Europe varies between languages. Consequently, the actions that are required to further support research and development of language technologies also differ for each language. The required actions depend on many factors, such as the complexity of a given language and the size of its community. META-NET, a Network of Excellence funded by the European Commission, has conducted an analysis of current language resources and technologies. This analysis focused on the 23 official European languages as well as other important national and regional languages in Europe. The results of this analysis suggest that there are many significant research gaps for each language. A more detailed expert analysis and assessment of the current situation will help maximise the impact of additional research and minimize any risks. META-NET consists of 54 research centres from 33 countries that are working with stakeholders from commercial businesses, government agencies, industry, research organisations, software companies, technology providers and European universities. Together, they are creating a common technology vision while developing a strategic research agenda that shows how language technology applications can address any research gaps by 2020.
410  0$aWhite Paper Series,$x2194-1416
606   $aNatural language processing (Computer science)
606   $aComputational linguistics
606   $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040
606   $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000
615  0$aNatural language processing (Computer science).
615  0$aComputational linguistics.
615 14$aNatural Language Processing (NLP).
615 24$aComputational Linguistics.
676   $a491.6
676   $a491.660285
676   $a491.667
702   $aRehm$b Georg$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aUszkoreit$b Hans$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910300154603321
996   $aWelsh language in the digital age$91409988
997   $aUNINA