Update README.md

README.md

@@ -17,33 +17,6 @@ For the dataset in XML/TEI see the [GitHub repository of the project](https://gi
 
 This collection of Eighteenth-Century French Novels contains 200 digital French texts of novels created or first published between 1751 and 1800. The collection is created in the context of [Mining and Modeling Text](https://www.mimotext.uni-trier.de/en) (2019-2023), a project which is located at the Trier Center for Digital Humanities ([TCDH](https://tcdh.uni-trier.de/en)) at Trier University. 
 
-## Corpus building
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-In the first step, about 40 novels have been carefully created by double keying. Using this first group of novels, an OCR-model has been trained in cooperation with Christian Reul (University of Würzburg), who is one of the developers of OCR4all.  
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-Applying this OCR-model to additional scans provided by for instance by Gallica (bnf.fr) and other sources (see metadata for details), a second group of novels which are not yet available in full text (or only in low quality) was produced.
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-A third group of texts, based on existing full texts (from Wikisource and other sources) helped us reach 200 volumes. 
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-## Balancing criteria
-At the beginning, corpus composition depended primarily on pragmatic criteria. We then proceeded and used additional metadata on the literary production to balance the corpus of full texts. A bibliography documenting the overall production of novels in the period is Angus Martin, Vivienne G. Mylne and Richard Frautschi, *Bibliographie du genre romanesque français 1751-1800*, 1977. We used this metadata to balance our corpus of texts regarding the parameters gender, year of first publication and narrative form in approaching the historical distribution of these parameters in our full text metadata. 
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-BGRF = abreviation for *Bibliographie du genre romanesque français 1751-1800*, a source of bibliographic metadata we mined for extracting publication years, narrative form, authors and more.  
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-### Year of first publication per decades
-The year of first publication according to BGRF data. We compared the overall novel publication with the corpus data and added novels per year according to the known historical publication proportions. Shown here is an overview per decade. Please note that the last bar ('1800') contains only data for one year.  
-![Balancing of the collection](https://raw.githubusercontent.com/MiMoText/balance_novels/main/img/pubyear-decade.png "First edition year in corpus and in overall literary production")
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-### Gender balance
-Concerning gender, we used statements from Wikidata as well as a python script filtering for gender specific titles (Abbé, Marquis etc.). In cases where names lacked a Wikidata match or a specific title, we employed the gender guesser Python package to make gender predictions.
-![Balancing of the collection](https://raw.githubusercontent.com/MiMoText/balance_novels/main/img/gender_proportion_without_unknown.png "Gender balance in corpus and in overall literary production")
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-### Narrative form 
-Information on narrative form was extracted from the BGRF data (Mylne et al., 1977) supplemented by human evaluations conducted on the full texts.
-![Balancing of the collection](https://raw.githubusercontent.com/MiMoText/balance_novels/main/img/narrative_forms_decade.png "Narrative form in corpus and in overall literary production")
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-For a more detailed documentation of our sampling and balancing strategy, see our [Jupyter Notebook](https://github.com/MiMoText/balance_novels/blob/main/balance_analysis_newStructure.ipynb).
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 ## Metadata 
 There is a metadata file on the level of the full texts. The column names are explained in the next paragraph.