From ab263aa0b54885b04813b6026bf5cd8680a26df2 Mon Sep 17 00:00:00 2001
From: Christian Boulanger <boulanger@lhlt.mpg.de>
Date: Mon, 30 Sep 2024 11:15:58 +0200
Subject: [PATCH] Update documentation
---
convert-anystyle-data/anystyle-to-tei.ipynb | 25 +++++++++++++--------
1 file changed, 16 insertions(+), 9 deletions(-)
diff --git a/convert-anystyle-data/anystyle-to-tei.ipynb b/convert-anystyle-data/anystyle-to-tei.ipynb
index bc825fc..5297f32 100644
--- a/convert-anystyle-data/anystyle-to-tei.ipynb
+++ b/convert-anystyle-data/anystyle-to-tei.ipynb
@@ -3,7 +3,7 @@
{
"cell_type": "markdown",
"source": [
- "# Convert AnyStyle GS to TEI (`<bibl>`/`<biblStruct>`) GS \n",
+ "# Convert AnyStyle to TEI-bibl data \n",
"\n",
"References: \n",
"- https://www.tei-c.org/release/doc/tei-p5-doc/en/html/CO.html#COBI (Overview)\n",
@@ -14,19 +14,28 @@
"- https://grobid.readthedocs.io/en/latest/training/Bibliographical-references/ (Grobid examples using `<bibl>`)\n",
"\n",
"\n",
- "We use `<bibl>` here instead of `<biblStruct>` because it is more loosely-structured and allows for a more flat datastructure. \n",
+ "We use `<bibl>` here for marking up the citation data. These annotations can then be further processed:\n",
+ "- [to Gold Standard based on `<biblStruct>`](tei-to-biblstruct-gs.ipynb)\n",
+ "- [to bibliographic data formats](tei-to-bibformats.ipynb)\n",
+ "- [to the prodigy annotation format](tei-to-prodigy.ipynb)\n",
"\n",
- "Todo:\n",
- "- BiblStruct mit der übergeordneten <listBibl n=\"fußnote\" src=\"Input\">\n",
- "\n",
- "\n",
- "## Collect metadata on TEI `<bibl>` tags"
+ "Code was written with assistance by ChatGPT 4. "
],
"metadata": {
"collapsed": false
},
"id": "4c77ab592c98dfd"
},
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## Collect metadata on TEI `<bibl>` tags"
+ ],
+ "metadata": {
+ "collapsed": false
+ },
+ "id": "dd3645db958007fe"
+ },
{
"cell_type": "markdown",
"source": [
@@ -79,8 +88,6 @@
"import re\n",
"from tqdm.notebook import tqdm\n",
"\n",
- "\n",
- "# written by GPT-4\n",
"def extract_headings_and_links(tag, doc_heading, doc_base_url):\n",
" # Extract heading numbers from the document\n",
" heading_numbers = re.findall(r'\\d+(?:\\.\\d+)*', doc_heading)\n",
--
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