Corpus methods for semantics: quantitative studies in polysemy and synonymy
Gespeichert in:
1. Verfasser: | |
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Weitere Verfasser: | , |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Amsterdam/Philadelphia
John Benjamins Publishing Company
2014
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Schriftenreihe: | Human cognitive processing
Volume 43 |
Schlagworte: | |
Online-Zugang: | DE-1046 DE-1047 Volltext |
Beschreibung: | Description based upon print version of record. - 5. Multifactorial results. Logistic regression analysis 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 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 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 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 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 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 |
Beschreibung: | 1 Online-Ressource (553 p.) |
ISBN: | 9027270333 9789027270337 |
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500 | |a 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 | ||
500 | |a 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 | ||
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500 | |a 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 | ||
500 | |a 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 | ||
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series | Human cognitive processing |
series2 | Human cognitive processing |
spelling | Corpus methods for semantics quantitative studies in polysemy and synonymy Amsterdam/Philadelphia John Benjamins Publishing Company 2014 1 Online-Ressource (553 p.) txt rdacontent c rdamedia cr rdacarrier Human cognitive processing Volume 43 Description based upon print version of record. - 5. Multifactorial results. Logistic regression analysis 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 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 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 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 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 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 Cognitive grammar Computational linguistics Corpora (Linguistics) Semantics LANGUAGE ARTS & DISCIPLINES / General bisacsh Cognitive grammar fast Computational linguistics fast Corpora (Linguistics) fast Polysemy fast Semantics fast Polysemy Synonymie (DE-588)4358462-7 gnd rswk-swf Polysemie (DE-588)4199267-2 gnd rswk-swf Korpus Linguistik (DE-588)4165338-5 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Polysemie (DE-588)4199267-2 s Synonymie (DE-588)4358462-7 s Korpus Linguistik (DE-588)4165338-5 s 2\p DE-604 Glynn, Dylan (DE-588)142666440 edt Robinson, Justyna A. (DE-588)1052855571 edt Colleman, Timothy 1976- (DE-588)1055731970 ctb Erscheint auch als Druck-Ausgabe 978-90-272-2397-5 (DE-604)BV042259498 Human cognitive processing Volume 43 (DE-604)BV046784672 43 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=879180 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Glynn, Dylan Corpus methods for semantics quantitative studies in polysemy and synonymy Cognitive grammar Computational linguistics Corpora (Linguistics) Semantics LANGUAGE ARTS & DISCIPLINES / General bisacsh Cognitive grammar fast Computational linguistics fast Corpora (Linguistics) fast Polysemy fast Semantics fast Polysemy Synonymie (DE-588)4358462-7 gnd Polysemie (DE-588)4199267-2 gnd Korpus Linguistik (DE-588)4165338-5 gnd Human cognitive processing |
subject_GND | (DE-588)4358462-7 (DE-588)4199267-2 (DE-588)4165338-5 (DE-588)4143413-4 |
title | Corpus methods for semantics quantitative studies in polysemy and synonymy |
title_auth | Corpus methods for semantics quantitative studies in polysemy and synonymy |
title_exact_search | Corpus methods for semantics quantitative studies in polysemy and synonymy |
title_full | Corpus methods for semantics quantitative studies in polysemy and synonymy |
title_fullStr | Corpus methods for semantics quantitative studies in polysemy and synonymy |
title_full_unstemmed | Corpus methods for semantics quantitative studies in polysemy and synonymy |
title_short | Corpus methods for semantics |
title_sort | corpus methods for semantics quantitative studies in polysemy and synonymy |
title_sub | quantitative studies in polysemy and synonymy |
topic | Cognitive grammar Computational linguistics Corpora (Linguistics) Semantics LANGUAGE ARTS & DISCIPLINES / General bisacsh Cognitive grammar fast Computational linguistics fast Corpora (Linguistics) fast Polysemy fast Semantics fast Polysemy Synonymie (DE-588)4358462-7 gnd Polysemie (DE-588)4199267-2 gnd Korpus Linguistik (DE-588)4165338-5 gnd |
topic_facet | Cognitive grammar Computational linguistics Corpora (Linguistics) Semantics LANGUAGE ARTS & DISCIPLINES / General Polysemy Synonymie Polysemie Korpus Linguistik Aufsatzsammlung |
url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=879180 |
volume_link | (DE-604)BV046784672 |
work_keys_str_mv | AT glynndylan corpusmethodsforsemanticsquantitativestudiesinpolysemyandsynonymy AT robinsonjustynaa corpusmethodsforsemanticsquantitativestudiesinpolysemyandsynonymy AT collemantimothy corpusmethodsforsemanticsquantitativestudiesinpolysemyandsynonymy |