work on Python with Jermaine

pythonCode/markdownExample.md

@@ -0,0 +1,38 @@
+# My Documentation
+
+Okay, so we are working with this Python script that does natural language processing.
+
+* Python File 1 is the [PersonTagger](personTagger.py)
+* Python File 2 is the [CultureTagger](cultureTagger.py)
+
+This is a code block from your project Python that we were just working on:
+```py
+config = {"spans_key": None, "annotate_ents": True, "overwrite": True, "validate": True}
+ruler = nlp.add_pipe("span_ruler", before="ner",  config=config)
+# 2023-04-07: ebb: NOTE: before="ner" setting seems to allow the spaCy NER rules to prevail over these patterns where
+# there is a conflict.
+# after="ner" means that the spaCy ner is TOTALLY OVERWRITTEN and invalidated by our patterns.
+
+# Notes: Mattingly has this: ruler = nlp.add_pipe("entity_ruler", after="ner", config={"validate": True})
+# But this only works when spaCy doesn't recognize a word / phrase as a named entity of any kind.
+# If it recognizes a named entity but tags it wrong, we correct it with the span_ruler, not the entity_ruler
+patterns = [
+    {"label": "NULL", "pattern": [{"TEXT" : {"REGEX": "^-\w+?"}}]},
+    {"label": "NULL", "pattern": [{"TEXT" : {"REGEX": "^\w$"}}]},
+    {"label": "GPE", "pattern": [{"TEXT" : {"REGEX": "Babylon(ia)?"}}]},
+    {"label": "NULL", "pattern": "di"},
+    {"label": "ORG", "pattern": "Falangist"},
+    {"label": "NORP", "pattern": "Dropa"},
+    {"label": "GPE", "pattern": "Nazareth"},
+    {"label": "NULL", "pattern": "Bab"},
+]
+ruler.add_patterns(patterns)
+```
+
+Now, here is what is happening in this code.
+
+
+
+
+
+