000914830 000__ 05180cam\a2200589Ii\4500 000914830 001__ 914830 000914830 005__ 20230306150545.0 000914830 006__ m\\\\\o\\d\\\\\\\\ 000914830 007__ cr\cn\nnnunnun 000914830 008__ 190926s2019\\\\sz\a\\\\o\\\\\101\0\eng\d 000914830 020__ $$a9783030301354$$q(electronic book) 000914830 020__ $$a3030301354$$q(electronic book) 000914830 020__ $$z9783030301347 000914830 0247_ $$a10.1007/978-3-030-30135-4$$2doi 000914830 035__ $$aSP(OCoLC)on1121045135 000914830 035__ $$aSP(OCoLC)1121045135 000914830 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dUKMGB$$dEBLCP 000914830 049__ $$aISEA 000914830 050_4 $$aP98 000914830 08204 $$a006.35$$223 000914830 1112_ $$aEurophras (Conference : International)$$n(3rd :$$d2019 :$$cMalaga, Spain) 000914830 24510 $$aComputational and corpus-based phraseology :$$bthird International Conference, Europhras 2019, Malaga, Spain, September 25-27, 2019, Proceedings /$$cGloria Corpas Pastor, Ruslan Mitkov (eds.). 000914830 2463_ $$aEurophras 2019 000914830 264_1 $$aCham, Switzerland :$$bSpringer,$$c2019. 000914830 300__ $$a1 online resource (xvii, 445 pages) :$$billustrations. 000914830 336__ $$atext$$btxt$$2rdacontent 000914830 337__ $$acomputer$$bc$$2rdamedia 000914830 338__ $$aonline resource$$bcr$$2rdacarrier 000914830 4901_ $$aLecture notes in artificial intelligence 000914830 4901_ $$aLecture notes in computer science ;$$v11755 000914830 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence 000914830 500__ $$aInternational conference proceedings. 000914830 500__ $$aIncludes author index. 000914830 5050_ $$aIntro; Preface; Computational and Corpus-Based Phraseology; References; Organisation; Contents; The Grammatical Environment of Intensifier-Noun Collocations: Insights from Lexical Priming Theory; Abstract; 1 Introduction; 2 Theoretical Background; 3 Methodology; 4 Results and Analysis; 4.1 Case Study 1: Intensifier + Attention; 4.2 Case Study 2: Intensifier + Fear; 5 Conclusions and Reflections for Further Research; References; Towards a Typology of Microsyntactic Constructions; Abstract; 1 Background; 2 Microsyntax Cross-Linguistically; 3 Empirical Foundation 000914830 5058_ $$a3.1 Lexically Idiomatic Cross-Slavic Correspondences (Type A)3.2 Syntactically Idiomatic Cross-Slavic Correspondences (Type B); 3.3 Moderately Transparent Cross-Slavic Correspondences (Type C); 4 Conclusion; Acknowledgements; References; 'Alla finfine sono daccordo': A Corpus-Based Case Study on Italian Adverbial Phrases Grammaticalization; Abstract; 1 Introduction; 1.1 Grammaticalization, Usage-Based Theory and Frequency Effects; 1.2 Adverbs and Adverbial Phrases; 2 Spelling Irregularities as a Sign of Grammaticalization; 3 Materials and Methodology; 4 Statistical Analyses 000914830 5058_ $$a4.1 First Model: What Factors Influence the Presence of Spelling Irregularities?4.2 Second Model: What Factors Influence the Measure of the Irregularity?; 4.3 Third Model: What Factors Affect Frequency of Irregularities?; 5 Conclusions; Appendix; References; On the Structural Disambiguation of Multi-word Terms; Abstract; 1 Introduction; 2 Structural Ambiguity in Multi-word Terms; 3 Materials and Methods; 4 Experiments and Discussion; 4.1 Bracketing indicators; 4.2 Case study: Wind Farm Power Output; 5 Conclusions; Acknowledgements; References 000914830 5058_ $$aPhraseology in Specialised Language: A Contrastive Analysis of Mitigation in Academic PapersAbstract; 1 Introduction; 2 Corpus and Method; 3 Results; 4 Conclusions; References; "Sword" Metaphors in Nikita Khrushchev's Political Rhetoric; Abstract; 1 Introduction; 2 Previous Research; 3 Corpus and Methodology; 4 Analysis; 5 Conclusions; References; Multiword Units and N-Grams Naming FEAR in the Israel-Corpus; Abstract; 1 Introduction; 2 Research Overview: Emotions as Research Object in the Israel-Corpus; 3 Research Questions and Methods; 3.1 Corpus, Methods and Tools; 3.2 Research Questions 000914830 5058_ $$a4 Results4.1 The Most Frequent and Typical Lexemes of the Corpus ISW; 4.2 The Most Significant Linguistic Patterns (3/4-Grams) of the Corpus ISW; 4.3 The Typical Patterns of Angst; 5 Conclusions; References; Slovene Multi-word Units: Identification, Categorization, and Representation; Abstract; 1 Introduction; 2 Annotation Task; 2.1 Definition of MWU Categories; 2.2 Training Corpus and Annotation Tool; 3 Analysis and Findings; 3.1 Identification; 3.2 Categorization; 3.3 Representation: Identification of Lexicalized MWU Elements; 4 Discussion and Conclusion; Acknowledgments; References 000914830 506__ $$aAccess limited to authorized users. 000914830 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 26, 2019). 000914830 650_0 $$aComputational linguistics$$vCongresses. 000914830 650_0 $$aPhraseology$$vCongresses. 000914830 650_0 $$aCorpora (Linguistics)$$vCongresses. 000914830 7001_ $$aCorpas Pastor, Gloria,$$eeditor. 000914830 7001_ $$aMitkov, Ruslan,$$eeditor. 000914830 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 000914830 830_0 $$aLecture notes in computer science ;$$v11755. 000914830 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 000914830 852__ $$bebk 000914830 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-30135-4$$zOnline Access$$91397441.1 000914830 909CO $$ooai:library.usi.edu:914830$$pGLOBAL_SET 000914830 980__ $$aEBOOK 000914830 980__ $$aBIB 000914830 982__ $$aEbook 000914830 983__ $$aOnline 000914830 994__ $$a92$$bISE