001440388 000__ 04124cam\a2200697\i\4500 001440388 001__ 1440388 001440388 003__ OCoLC 001440388 005__ 20230309004600.0 001440388 006__ m\\\\\o\\d\\\\\\\\ 001440388 007__ cr\cn\nnnunnun 001440388 008__ 211019s2021\\\\sz\a\\\\o\\\\\101\0\eng\d 001440388 019__ $$a1287767880 001440388 020__ $$a9783030895792$$q(electronic bk.) 001440388 020__ $$a3030895793$$q(electronic bk.) 001440388 020__ $$z9783030895785$$q(print) 001440388 0247_ $$a10.1007/978-3-030-89579-2$$2doi 001440388 035__ $$aSP(OCoLC)1277149123 001440388 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dDCT$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ 001440388 049__ $$aISEA 001440388 050_4 $$aP98 001440388 08204 $$a006.3/5$$223 001440388 1112_ $$aSLSP (Conference)$$n(9th :$$d2021 :$$cCardiff, Wales) 001440388 24510 $$aStatistical language and speech processing :$$b9th International Conference, SLSP 2021, Cardiff, UK, November 23-25, 2021, Proceedings /$$cLuis Espinosa-Anke, Carlos Martín-Vide, Irena Spasić (eds.). 001440388 2463_ $$aSLSP 2021 001440388 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021. 001440388 300__ $$a1 online resource (ix, 111 pages) :$$billustrations (some color) 001440388 336__ $$atext$$btxt$$2rdacontent 001440388 337__ $$acomputer$$bc$$2rdamedia 001440388 338__ $$aonline resource$$bcr$$2rdacarrier 001440388 347__ $$atext file 001440388 347__ $$bPDF 001440388 4901_ $$aLecture notes in artificial intelligence 001440388 4901_ $$aLecture notes in computer science ;$$v13062 001440388 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence 001440388 500__ $$aIncludes author index. 001440388 5050_ $$aLanguage -- Improving German Image Captions using Machine Translation and Transfer Learning -- Automatic News Article Generation from Legislative Proceedings: A Phenom-based Approach -- Comparison of Czech Transformers on Text Classification Tasks -- Constructing Sentiment Lexicon with Game for Annotation Collection -- Robustness of Named Entity Recognition: Case of Latvian -- Speech -- Use of Speaker Metadata for Improving Automatic Pronunciation Assessment -- Augmenting ASR for user-generated videos with semi-supervised training and acoustic model adaptation for Spoken Content Retrieval -- Various DNN-HMM Architectures Used in Acoustic Modeling with Single-Speaker and Single-Channel Invariant Representation Learning for Robust Far-Field Speaker Recognition. 001440388 506__ $$aAccess limited to authorized users. 001440388 520__ $$aThis book constitutes the proceedings of the 9th International Conference on Statistical Language and Speech Processing, SLSP 2021, held in Cardiff, UK, in November 2021. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within language and speech processing. 001440388 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 19, 2021). 001440388 650_0 $$aComputational linguistics$$vCongresses. 001440388 650_0 $$aSpeech processing systems$$vCongresses. 001440388 650_6 $$aLinguistique informatique$$vCongrès. 001440388 650_6 $$aTraitement automatique de la parole$$vCongrès. 001440388 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001440388 655_7 $$aConference papers and proceedings.$$2lcgft 001440388 655_7 $$aActes de congrès.$$2rvmgf 001440388 655_0 $$aElectronic books. 001440388 7001_ $$aEspinosa-Anke, Luis,$$eeditor$$1https://orcid.org/0000-0001-6830-9176 001440388 7001_ $$aMartín Vide, Carlos,$$eeditor.$$1https://orcid.org/0000-0003-1670-6000 001440388 7001_ $$aSpasić, Irena,$$eeditor.$$1https://orcid.org/0000-0002-8132-3885 001440388 77608 $$iPrint version: $$z9783030895785 001440388 77608 $$iPrint version: $$z9783030895808 001440388 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001440388 830_0 $$aLecture notes in computer science ;$$v13062. 001440388 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 001440388 852__ $$bebk 001440388 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89579-2$$zOnline Access$$91397441.1 001440388 909CO $$ooai:library.usi.edu:1440388$$pGLOBAL_SET 001440388 980__ $$aBIB 001440388 980__ $$aEBOOK 001440388 982__ $$aEbook 001440388 983__ $$aOnline 001440388 994__ $$a92$$bISE