LEADER 05712nam 2200709 450 001 9910459976503321 005 20200903223051.0 010 $a90-272-7003-1 035 $a(CKB)3710000000270464 035 $a(EBL)1826114 035 $a(SSID)ssj0001368844 035 $a(PQKBManifestationID)12537421 035 $a(PQKBTitleCode)TC0001368844 035 $a(PQKBWorkID)11286694 035 $a(PQKB)11431538 035 $a(MiAaPQ)EBC1826114 035 $a(Au-PeEL)EBL1826114 035 $a(CaPaEBR)ebr10960630 035 $a(CaONFJC)MIL663021 035 $a(OCoLC)894171159 035 $a(EXLCZ)993710000000270464 100 $a20141106h20142014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aSpoken corpora and linguistic studies /$fedited by Tommaso Raso, Heliana Mello ; cover design, Franc?oise Berserik 210 1$aAmsterdam, Netherlands ;$aPhiladelphia, Pennsylvania :$cJohn Benjamins Publishing Company,$d2014. 210 4$dİ2014 215 $a1 online resource (506 p.) 225 1 $aStudies in Corpus Linguistics,$x1388-0373 ;$vVolume 61 300 $aDescription based upon print version of record. 311 $a1-322-31739-9 311 $a90-272-0369-5 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aSpoken Corpora and Linguistic Studies; Editorial page; Title page; LCC data; Table of contents; Acknowledgements; Introduction. Spoken corpora and linguistic studies: Problems and perspectives; 1. Why this book ; 2. Some important issues ; 2.1 What do we intend when we consider speech as the natural modality of language? ; 2.2 Prosody ; 2.3 Illocution, attitude, emotion ; 2.4 Information structure ; 3. The content of the book ; 3.1 Experiences and requirements of spoken corpora compilation ; 3.2 Multilevel corpus annotation ; 3.3 Prosody and its functional levels 327 $a3.4 Syntax and information structure References ; Section I. Experiences and requirements of spoken corpora compilation; 1. Methodological issues for spontaneous speech corpora compilation; 1. Introduction ; 2. Speech corpora: State of the art and spontaneous speech ; 2.1 Speech corpora types ; 2.2 Spontaneous speech corpora ; 2.3 Spoken corpora and linguistic diasystem ; 3. Architecture of spontaneous speech corpora and the importance of diaphasy ; 3.1 The architecture ; 3.2 Spontaneous speech corpus branching ; 3.3 Interactional typologies ; 3.4 Diaphasic variation ; 3.5 Metadata 327 $a4. Data collection and treatment 4.1 Recordings ; 4.2 Speech representation and transcription ; 5. Usability ; 5.1 Alignment ; 5.2 Informational annotation ; 6. Conclusion ; References ; 2. A multilingual speech corpus of North-Germanic languages; 1. Introduction ; 2. Challenges in the corpus design and development ; 2.1 Methodology for collecting speech ; 2.2 Transcription and tagging ; 2.3 Metadata ; 2.4 Multilingual search ; 2.5 Links to audio and video ; 2.6 Results presented on maps ; 3. Results from research on the Nordic Dialect Corpus ; 4. Conclusion ; Acknowledgements ; References 327 $aLinks 3. Methodological considerations for the development and use of sign language acquisition corpora; 1. Introduction ; 2. Metadata ; 3. Designing annotation patterns------ ; 4. Sign IDs ; 5. Conclusion ; Acknowledgements ; References ; Section II. Multilevel corpus annotation; 4. The grammatical annotation of speech corpora: Techniques and perspectives; 1. Introduction ; 2. The corpora ; 3. Constraint Grammar ; 4. Parser architecture ; 5. CG adaptations for orality features in speech-like corpora ; 6. Cross-corpus parser evaluation ; 7. Comparing orality markers ; 7.1 General comparison 327 $a7.2 Pronouns 7.3 Emoticons ; 7.4 Non-standard syntax in TV news jargon: Examples and solutions ; 8. CG-Annotation of linguistically transcribed ordinary speech ; 9. C-ORAL-Brasil methodology - speech-specific adaptations ; 9.1 Text flow normalization ; 9.2 Tokenization ; 9.3 Lexical and orthographic normalization ; 9.4 Syntactic segmentation ; 10. Evaluating the PALAVRAS speech tagger ; 11. Conclusions and outlook ; References ; 5. The IPIC resource and a cross-linguistic analysis of information structure; 1. Introduction ; 2. Theoretical background 327 $a3. Implementation of L-ACT in spoken language corpora 330 $aThis article aims to show how a corpus driven theory that analyses speech through information units can better account for Discourse Markers (DM) identification and analysis. We propose that the speech flow can only be properly analyzed if segmented into utterances and tone units through prosodic parameters. Utterances correspond to speech acts and tone units to information units (IU); therefore, it is possible for DMs to be identified since they correspond to dialogic information units (DU). Each IU is submitted to different prosodic conditions in order to carry their function. This allows fo 410 0$aStudies in corpus linguistics ;$vVolume 61. 606 $aSpeech acts (Linguistics) 606 $aPragmatics$xData processing 606 $aCorpora (Linguistics) 608 $aElectronic books. 615 0$aSpeech acts (Linguistics) 615 0$aPragmatics$xData processing. 615 0$aCorpora (Linguistics) 676 $a401/.41 702 $aRaso$b Tommaso 702 $aMello$b Heliana 702 $aBerserik$b Franc?oise 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910459976503321 996 $aSpoken Corpora and Linguistic Studies$91078703 997 $aUNINA