LEADER 00874nam0-2200337---450- 001 990010053540403321 005 20160314160410.0 010 $a8870185230 035 $a001005354 035 $aFED01001005354 035 $a(Aleph)001005354FED01 035 $a001005354 100 $a20160314d2004----km-y0itay50------ba 101 1 $aita$ceng 102 $aIT 105 $a--------001yy 200 1 $aHumor$fSimon Critchley 210 $aGenova$cil melangolo$d2004 215 $a109 p.$cill.$d19 cm 225 1 $aLecturae 454 0$12001$aOn humor$91496941 610 0 $aUmorismo$aAspetti filosofici 676 $a152.43$v22$zita 700 1$aCritchley,$bSimon$0687642 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990010053540403321 952 $a152.43 CRI 1$b1932$fBFS 959 $aBFS 996 $aOn humor$91496941 997 $aUNINA LEADER 07556 am 22007453u 450 001 9910130560903321 005 20221206100645.0 010 $a3-642-30910-0 024 7 $a10.1007/978-3-642-30910-6 035 $a(CKB)3400000000125738 035 $a(SSID)ssj0000878854 035 $a(PQKBManifestationID)11474960 035 $a(PQKBTitleCode)TC0000878854 035 $a(PQKBWorkID)10837282 035 $a(PQKB)11028729 035 $a(DE-He213)978-3-642-30910-6 035 $a(MiAaPQ)EBC3082311 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/26839 035 $a(PPN)168318008 035 $a(EXLCZ)993400000000125738 100 $a20130221d2013 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEssential Speech and Language Technology for Dutch $eResults by the STEVIN-programme /$fedited by Peter Spyns, Jan Odijk 205 $aFirst edition 2013. 210 $aCham$cSpringer Nature$d2013 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (xvii, 413 pages) $c79 illustrations, 29 illustrations in colour 225 1 $aTheory and Applications of Natural Language Processing 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$aPrint version: 9783642429927 320 $aIncludes bibliographical references and index. 327 $aForeword. by Linde van den Bosch -- Introduction -- Peter Spyns -- Part I. How it started -- 2.The STEVIN Programme: Result of Five Years Cross-Border HLT for Dutch Policy Preparation. P.Spyns and E.D?Halleweyn -- Part II. HLT Resource-project Related Papers -- 3.The JASMIN Speech Corpus: Recordings of Children, Non-Natives and Elderly People. C. Cucchiarini and H. Van Hamme -- 4.Resources Developed in the Autonomata Projects. H.van den Heuvel, J-P.Martens, G.Bloothooft, M.Schraagen, N.Konings, K.D?hanens, and Q.Yang -- 5.STEVIN can Praat. D.Weenink -- 6.SPRAAK: Speech Processing, Recognition and Automatic Annotation Kit. P.Wambacq, K.Demuynck, and D.Van Compernolle -- 7.COREA: Coreference Resolution for Extracting Answers for Dutch. I.Hendrickx, G.Bouma, W.Daelemans and V.Hoste -- 8.Automatic Tree Matching for Analysing Semantic Similarity in Comparable Text. E.Marsi and E.Krahmer -- 9.Large Scale Syntactic Annotation of Written Dutch: Lassy. G.van Noord, G.Bouma, F.van Eynde, D.de Kok, J.van der Linde, I.Schuurman, E.Tjong Kim Sang, and V.Vandeghinste -- 10.Cornetto: a Combinatorial Lexical Semantic Database for Dutch. P.Vossen, I.Maks, R.Segers, H.van der Vliet, M-F.Moens, K.Hofmann, E.Tjong Kim Sang, and M.de Rijke -- 11.Dutch Parallel Corpus: a Balanced Parallel Corpus for Dutch-English and Dutch-French. H.Paulusen, L.Macken, W.Vandeweghe, and P.Desmet -- 12.Identification and Lexical Representation of Multiword Expressions. J.Odijk -- 13.The Construction of a 500-million-word Reference Corpus of Contemporary Written Dutch. N.Oostdijk, M.Reynaert, V.Hoste, and I.Schuurman -- Part III. HLT Technology Related Papers -- 14.Lexical Modeling for Proper Name Recognition in Autonomata Too -- B.Réveil, J-P.Martens, H.van den Heuvel, G.Bloothooft, and M.Schraagen -- 15.N-Best 2008: a Benchmark Evaluation for Large Vocabulary Speech Recognition in Dutch. D.A. van Leeuwen -- 16.Missing Data Solutions for Robust Speech Recognition. Y.Wang, J.F.Gemmeke, K.Demuynck, and H.Van Hamme -- 17.Parse and Corpus-based Machine Translation. V.Vandeghinste, S.Martens, G.Kotzé, J.Tiedemann, J.Van den Bogaert, K.De Smet, F.Van Eynde, and G.van Noord -- Part IV.HLT Application Related Papers -- 18.Development and Integration of Speech technology into COurseware for Language Learning: the DISCO Project. H. Strik, J. van Doremalen, J. Colpaert, and C. Cucchiarini -- 19.Question Answering of Informative Web Pages: How Summarisation Technology Helps. J.De Belder, D.de Kok, G.van Noord, F.Nauze, L.van der Beek, and M-F.Moens -- 20.Generating, Refining and Using Sentiment Lexicons. M.de Rijke, V.Jijkoun, F.Laan, W.Weerkamp, P.Ackermans, and G.Geleijnse -- Part V. And now -- 21.The Dutch-Flemish HLT Agency: Managing the Lifecycle of STEVIN?s Language Resources. R.van Veenendaal, L.van Eerten, C.Cucchiarini, and P.Spyns -- 22.Conclusions and Outlook to the Future. Jan Odijk. 330 $aThe book provides an overview of more than a decade of joint R&D efforts in the Low Countries on HLT for Dutch. It not only presents the state of the art of HLT for Dutch in the areas covered, but, even more importantly, a description of the resources (data and tools) for Dutch that have been created  are now  available for both academia and industry worldwide. The contributions cover many areas of human language technology (for Dutch): corpus collection (including IPR issues) and building (in particular one corpus aiming at a collection of 500M word tokens), lexicology, anaphora resolution, a semantic network, parsing technology, speech recognition, machine translation, text (summaries) generation, web mining, information extraction, and text to speech to name the most important ones. The book also shows how a medium-sized language community (spanning two territories) can create a digital language infrastructure (resources, tools, etc.) as a basis for subsequent R&D. At the same time, it bundles contributions of almost all the HLT research groups in Flanders and the Netherlands, hence offers a view of their recent research activities. Targeted readers are mainly researchers in human language technology, in particular those focusing on Dutch. It concerns researchers active in larger networks such as the CLARIN, META-NET, FLaReNet and participating in conferences such as ACL, EACL, NAACL, COLING, RANLP, CICling, LREC, CLIN and DIR ( both in the Low Countries), InterSpeech, ASRU, ICASSP, ISCA, EUSIPCO, CLEF, TREC, etc. In addition, some chapters are interesting for human language technology  policy makers and even for science policy makers in general. 410 0$aTheory and Applications of Natural Language Processing,$x2192-032X 606 $aComputational linguistics 606 $aGermanic languages 606 $aArtificial intelligence 606 $aComputational Linguistics$3http://scigraph.springernature.com/things/product-market-codes/N22000 606 $aGermanic Languages$3http://scigraph.springernature.com/things/product-market-codes/N23000 606 $aArtificial Intelligence$3http://scigraph.springernature.com/things/product-market-codes/I21000 606 $aArtificial Intelligence$3http://scigraph.springernature.com/things/product-market-codes/I21000 610 $aComputational Linguistics 610 $aGermanic Languages 610 $aArtificial Intelligence (incl. 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