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Cover Page
Colophon
TOCs
Table of Contents
List of Images
List of Tables
Front
1 Introduction
2 Instructions for use
Chapters
3 Corpora and concordancers
3.1 Corpora
3.2 Concordancers
4 Parliamentary records
4.1 Parliamentary discourse
4.2 Faithfulness of the records
4.3 Know your research dataset
5 Language and gender
6 Corpus analysis
6.1 The siParl 2.0 corpus
6.2 TASK 1: Representation of women in the Slovenian Parliament
6.2.1 Creating subcorpora
6.2.2 Using frequency lists
6.2.3 Comparative analysis
6.3 TASK 2: Issues addressed by women
6.3.1 Extracting keywords
6.3.2 Analysing concordances
6.3.3 Comparative analysis
6.4 TASK 3: Topics related to women
6.4.1 Working with frequencies
6.4.2 Extracting collocations
6.4.3 Comparative analysis
7 Conclusions
Bibliography
Appendix
Summary
English
Slovenščina
SI-DIH
Cover Page
Colophon
TOCs
Table of Contents
List of Images
List of Tables
Front
1 Introduction
2 Instructions for use
Chapters
3 Corpora and concordancers
3.1 Corpora
3.2 Concordancers
4 Parliamentary records
4.1 Parliamentary discourse
4.2 Faithfulness of the records
4.3 Know your research dataset
5 Language and gender
6 Corpus analysis
6.1 The siParl 2.0 corpus
6.2 TASK 1: Representation of women in the Slovenian Parliament
6.2.1 Creating subcorpora
6.2.2 Using frequency lists
6.2.3 Comparative analysis
6.3 TASK 2: Issues addressed by women
6.3.1 Extracting keywords
6.3.2 Analysing concordances
6.3.3 Comparative analysis
6.4 TASK 3: Topics related to women
6.4.1 Working with frequencies
6.4.2 Extracting collocations
6.4.3 Comparative analysis
7 Conclusions
Bibliography
Appendix
Summary
English
Slovenščina
<<
List of Tables
<<
Table 1. Overview of the sizes of the siParl 2.0 subcorpora.
Table 2. Keyword annotation categories. We use upper case for the last four function categories in order to separate them from content categories.
Table 3: Illustrative example of manual topic annotation of 10 top-ranking keywords from speeches by female and male MPs in Term1.
Table 4: Topics of the 100 top-ranking keywords in speeches by female and male MPs in Term1.
Table 5: Topics of the 100 top-ranking keywords in speeches by female and male MPs in Term7.
Table 6. Raw and normalized frequencies of the lemma “ženska/female” in siParl 2.0.
Table 7: Examples of collocation clusters.
Table 8: Frequencies of thematic clusters for the 100 top-ranking collocation candidates in speeches by female and male MPs in all seven parliamentary terms.