LEADER 00000cam a2200685Mi 4500 001 ocn894170695 003 OCoLC 005 20160527041148.3 006 m o d 007 cr cnu---unuuu 008 141101s2014 pau o 000 0 eng d 020 9789027270337|q(electronic book) 020 9027270333|q(electronic book) 035 (OCoLC)894170695 040 EBLCP|beng|epn|cEBLCP|dOCLCO|dYDXCP|dOCLCO|dE7B|dN$T |dOCLCF|dOCLCQ|dOCLCO 049 RIDW 050 4 P325 .C595 2014 072 7 LAN|x000000|2bisacsh 082 04 401.43 090 P325 .C595 2014 100 1 Glynn, Dylan.|0https://id.loc.gov/authorities/names/ n2010060404 245 10 Corpus Methods for Semantics :|bQuantitative studies in polysemy and synonymy. 264 1 Amsterdam/Philadelphia :|bJohn Benjamins Publishing Company,|c2014. 300 1 online resource (553 pages). 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 340 |gpolychrome|2rdacc 347 text file|2rdaft 490 1 Human Cognitive Processing ;|vv.43 500 5. Multifactorial results. Logistic regression analysis. 504 ReferencesA case for the multifactorial assessment of learner language: The uses of may and can in French- English interlanguage; 1. Introduction and overview; 2. Setting the stage; 3. Data and methods; 4. Results and discussion; 5. Concluding remarks; References; Dutch causative constructions: Quantification of meaning and meaning of quantification; 1. Introduction; 2. Dutch causative constructions; 3. Data and variables; 4. Statistical analysis; 5. Linguistic interpretation of the statistical models; 6. Conclusion; References. 505 0 Corpus Methods for Semantics; Editorial page; Title page; LCC data; Table of contents; Contributors; Outline; 1. Aim of the volume; 2. Structure and summary; References; Section 1. Polysemy and synonymy; Polysemy and synonymy: Cognitive theory and corpus method; 1. Introduction: Theory and method; 2. Polysemy and synonymy: Definition, object and operationalisation; 3. Complexity and sampling: The need for quantification; 4. Modelling meaning. Multidimensional patterns and prototype effects; References; Competing 'transfer' constructions in Dutch: The case of ont-verbs; 1. Introduction. 505 8 2. Introducing the Dutch ont-verbs3. Methodology of the case study; 4. The results of the present-day investigation; 5. A diachronic perspective; 6. Conclusion; References; Appendix; Rethinking constructional polysemy: The case of the English conative construction; 1. Introduction; 2. The conative construction; 3. A collexeme analysis of the conative construction; 4. A collexeme analysis of verb-class-specific constructions; 5. Conclusion; References; Quantifying polysemy in cognitive sociolinguistics; 1. Polysemy; 2. Scope of the study; 3. Data and method. 505 8 4. Hierarchical agglomerative clustering5. Hierarchical agglomerative cluster analysis of collected data; 6. Logistic regression; 7. Decision tree analysis; 8. Summary and discussion of results; References; The many uses of run: Corpus methods and Socio-Cognitive Semantics; 1. Introduction; 2. Usage-based Cognitive Semantics; 3. Case study: run in America and Britain in diaries and conversation; 4. Summary; References; Visualizing distances in a set of near-synonyms: Rather, quite, fairly, and pretty; 1. Introduction; 2. Previous research; 3. Method; 4. Results; 5. Discussion and conclusion. 505 8 The semasiological structure of Polish myśleć 'to think': A study in verb-prefix semantics1. Introduction; 2. Introspective conceptual analysis of the prefixed forms of myśleć 'to think' in Polish; 3. The corpus; 4. Feature annotation; 5. Multivariate analysis of the results of feature annotation; 6. Conclusion; References; A multifactorial corpus analysis of grammatical synonymy: The Estonian adessive and adposition peal ; 1. Introduction; 2. The Estonian adessive case and the adposition peal 'on'; 3. The data sample; 4. Corpus- linguistic operationalizations and monofactorial results. 520 This text offers an introduction to binary logistic regression, a confirmatory technique for statistically modelling the effect of one or several predictors on a binary response variable. It is explained why logistic regression is exceptionally well suited for the comparison of near-synonyms in corpus data; the technique allows the researcher to identify the different factors that have an impact on the choice between near synonyms, and to tease apart their respective effects. Moreover, the technique is well suited to deal with the type of unbalanced data sets that are typical of Corpus Linguis. 588 0 Print version record. 590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic Collection - North America 650 0 Semantics.|0https://id.loc.gov/authorities/subjects/ sh85119870 650 0 Cognitive grammar.|0https://id.loc.gov/authorities/ subjects/sh86004349 650 0 Computational linguistics.|0https://id.loc.gov/authorities /subjects/sh85077224 650 0 Polysemy.|0https://id.loc.gov/authorities/subjects/ sh85104730 650 0 Corpora (Linguistics)|0https://id.loc.gov/authorities/ subjects/sh2006006393 650 7 Semantics.|2fast|0https://id.worldcat.org/fast/1112079 650 7 Cognitive grammar.|2fast|0https://id.worldcat.org/fast/ 866531 650 7 Computational linguistics.|2fast|0https://id.worldcat.org/ fast/871998 650 7 Polysemy.|2fast|0https://id.worldcat.org/fast/1070802 650 7 Corpora (Linguistics)|2fast|0https://id.worldcat.org/fast/ 1740921 655 4 Electronic books. 700 1 Robinson, Justyna A.|0https://id.loc.gov/authorities/names /n2011057920 776 08 |iPrint version:|aGlynn, Dylan.|tCorpus Methods for Semantics : Quantitative studies in polysemy and synonymy. |dAmsterdam/Philadelphia : John Benjamins Publishing Company, ©2014|z9789027223975 830 0 Human cognitive processing.|0https://id.loc.gov/ authorities/names/n98017243 856 40 |uhttps://rider.idm.oclc.org/login?url=http:// search.ebscohost.com/login.aspx?direct=true&scope=site& db=nlebk&AN=879180|zOnline eBook. Access restricted to current Rider University students, faculty, and staff. 856 42 |3Instructions for reading/downloading this eBook|uhttp:// guides.rider.edu/ebooks/ebsco 901 MARCIVE 20231220 948 |d20160607|cEBSCO|tebscoebooksacademic|lridw 994 92|bRID