LEADER 08145nam 22008295 450 001 996465895603316 005 20200630015717.0 010 $a3-540-45011-4 024 7 $a10.1007/3-540-45011-4 035 $a(CKB)1000000000212073 035 $a(SSID)ssj0000322043 035 $a(PQKBManifestationID)11232840 035 $a(PQKBTitleCode)TC0000322043 035 $a(PQKBWorkID)10281985 035 $a(PQKB)10174382 035 $a(DE-He213)978-3-540-45011-5 035 $a(MiAaPQ)EBC3072925 035 $a(PPN)155234064 035 $a(EXLCZ)991000000000212073 100 $a20121227d2003 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aComputational Processing of the Portuguese Language$b[electronic resource] $e6th International Workshop, PROPOR 2003, Faro, Portugal, June 26-27, 2003. Proceedings /$fedited by Nuno J. Mamede, Jorge Baptista, Isabel Trancoso, Maria das Gracas Volpe Nunes 205 $a1st ed. 2003. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2003. 215 $a1 online resource (XIV, 272 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2721 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-40436-8 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aSpeech Analysis and Recognition -- Devoicing Measures of European Portuguese Fricatives -- AUDIMUS.MEDIA: A Broadcast News Speech Recognition System for the European Portuguese Language -- Pitch Restoration for Robust Speech Recognition -- Speech Synthesis -- Grapheme-Phone Transcription Algorithm for a Brazilian Portuguese TTS -- Improving the Accuracy of the Speech Synthesis Based Phonetic Alignment Using Multiple Acoustic Features -- Evaluation of a Segmental Durations Model for TTS -- From Portuguese to Mirandese: Fast Porting of a Letter-to-Sound Module Using FSTs -- A Methodology to Analyze Homographs for a Brazilian Portuguese TTS System -- Automatic Discovery of Brazilian Portuguese Letter to Phoneme Conversion Rules through Genetic Programming -- Experimental Phonetics Contributions to the Portuguese Articulatory Synthesizer Development -- Pragmatics, Discourse, Semantics, Syntax, and the Lexicon -- A Study on the Reliability of Two Discourse Segmentation Models -- Reusability of Dictionaries in the Compilation of NLP Lexicons -- Homonymy in Natural Language Processes: A Representation Using Pustejovsky?s Qualia Structure and Ontological Information -- Using Adaptive Formalisms to Describe Context-Dependencies in Natural Language -- Some Regularities of Frozen Expressions in Brazilian Portuguese -- Tools, Resources, and Applications -- Selva: A New Syntactic Parser for Portuguese -- An Account of the Challenge of Tagging a Reference Corpus for Brazilian Portuguese -- Multi-level NER for Portuguese in a CG Framework -- HMM/MLP Hybrid Speech Recognizer for the Portuguese Telephone SpeechDat Corpus -- Managing Linguistic Resources and Tools -- Using Morphossyntactic Information in TTS Systems: Comparing Strategies for European Portuguese -- Timber! Issues in Treebank Building and Use -- A Lexicon-Based Stemming Procedure -- Contractions: Breaking the Tokenization-Tagging Circularity -- A Linguistic Approach Proposal for Mechanical Design Using Natural Language Processing -- Identification of Direct/Indirect Discourse in Children?s Stories -- Curupira: A Functional Parser for Brazilian Portuguese -- ANELL: A Web System for Portuguese Corpora Annotation -- Email2Vmail ? An Email Reader -- A Large Speech Database for Brazilian Portuguese Spoken Language Research -- Dialogue Systems -- Interpretations and Discourse Obligations in a Dialog System -- Using Dialogues to Access Semantic Knowledge in a Web IR System -- Managing Dialog and Access Control in Natural Language Querying -- Summarization and Information Extraction -- GistSumm: A Summarization Tool Based on a New Extractive Method -- Topic Indexing of TV Broadcast News Programs -- Evaluation -- An Initial Proposal for Cooperative Evaluation on Information Retrieval in Portuguese -- Evaluation of Finite-State Lexical Transducers of Temporal Adverbs for Lexical Analysis of Portuguese Texts -- Evaluating Automatically Computed Word Similarity -- Evaluation of a Thesaurus-Based Query Expansion Technique -- Cooperatively Evaluating Portuguese Morphology. 330 $aSince 1993, PROPOR Workshops have become an important forum for re- archers involved in the Computational Processing of Portuguese, both written and spoken. This PROPOR Workshop follows previous workshops held in 1993 (Lisboa, Portugal), 1996 (Curitiba, Brazil), 1998 (Porto Alegre, Brazil), 1999 ´ (Evora, Portugal) and 2000 (Atibaia, Brazil). The workshop has increasingly contributed to bring together researchers and industry partners from both sides of the Atlantic. The constitution of an international program committee and the adoption of high-standard referee procedures demonstrate the steady de- lopment of the ?eld and of its scienti?c community. This can also be seen in the realization of the satellite workshop AVALON, which constitutes the ?rst evaluation campaign of Portuguese NLP systems. Each one of the 64 submitted papers received a careful, triple blind-review by the program committee. All those who contributed are mentioned in the following pages. The reviewing process led to the selection of 41 papers for oral presentation, 24 regular papers and 17 short papers, which are published in this volume. Theworkshopandthisbookwerestructuredaroundtheeightfollowingmain topics: (i) speech analysis and recognition; (ii) speech synthesis; (iii) pragmatics, discourse, semantics, syntax, and the lexicon; (iv) tools, resources, and appli- tions; (v) dialogue systems; (vi) summarization and information extraction; and (vii) evaluation. 410 0$aLecture Notes in Artificial Intelligence ;$v2721 606 $aLearning 606 $aInstruction 606 $aArtificial intelligence 606 $aComputer science 606 $aMathematical logic 606 $aInformation storage and retrieval 606 $aNatural language processing (Computer science) 606 $aLearning & Instruction$3https://scigraph.springernature.com/ontologies/product-market-codes/O22000 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Science, general$3https://scigraph.springernature.com/ontologies/product-market-codes/I00001 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 615 0$aLearning. 615 0$aInstruction. 615 0$aArtificial intelligence. 615 0$aComputer science. 615 0$aMathematical logic. 615 0$aInformation storage and retrieval. 615 0$aNatural language processing (Computer science). 615 14$aLearning & Instruction. 615 24$aArtificial Intelligence. 615 24$aComputer Science, general. 615 24$aMathematical Logic and Formal Languages. 615 24$aInformation Storage and Retrieval. 615 24$aNatural Language Processing (NLP). 676 $a469/.0285 702 $aMamede$b Nuno J$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBaptista$b Jorge$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTrancoso$b Isabel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $adas Gracas Volpe Nunes$b Maria$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Workshop, PROPOR 906 $aBOOK 912 $a996465895603316 996 $aComputational Processing of the Portuguese Language$9772598 997 $aUNISA LEADER 01619nam 22004573 450 001 9910157589503321 005 20250715080402.0 010 $a1-5071-5500-X 035 $a(CKB)3710000001001680 035 $a(BIP)057446485 035 $a(VLeBooks)9781507155004 035 $a(MiAaPQ)EBC32178291 035 $a(Au-PeEL)EBL32178291 035 $a(OCoLC)1528358737 035 $a(Exl-AI)993710000001001680 035 $a(EXLCZ)993710000001001680 100 $a20250715d2016 uy 0 101 0 $apor 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFotografia para Iniciantes 205 $a1st ed. 210 1$aTBD :$cBabelcube Inc,$d2016. 210 4$dİ2016. 215 $a1 online resource (51 p.) 330 8 $aDESCUBRA TUDO SOBRE O B#65533;SICO DE FOTOGRAFIA.Aqui vai uma pr#65533;via do que voc#65533; ir#65533; aprender: como escolher a c#65533;mera certa, regras de composi#65533;#65533;o, cor, ilumina#65533;#65533;o, edi#65533;#65533;o de fotos, n#65533;veis e camadas, efeito Orton, arrumar problemas comuns de suas fotos e muito, muito mais! Garanta j#65533; a sua c#65533;pia! 606 $aPhotography$xTechnique$7Generated by AI 606 $aPhotography$7Generated by AI 615 0$aPhotography$xTechnique 615 0$aPhotography 700 $aRoss$b Nancy$01086804 701 $aLinhares$b Livia$01747374 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910157589503321 996 $aFotografia para Iniciantes$94404529 997 $aUNINA