Parse interlinear to csv: Difference between revisions

Write a python script to read this file: "C:\Python research\virtual_bible_interlinear.csv" having columns "id book chapter verse text" and transform it into "id book chapter verse text  word" by parsing the text column into words. Create a row for each word which includes "id book chapter verse word  text" where word is the word count within  the verse. Output to  "C:\Python research\virtual_bible_interlinear_by_word.csv" "C:\Python research\virtual_bible_interlinear_by_word.csv"

Here is a Python script that reads the CSV file, parses the text column into words, and transforms the data into a new format with a row for each word. Each word includes its word count within the verse, and the output is saved to a new CSV file.

You said:

rewrite it and remove nikud from Hebrew words.

To modify the script to remove nikud (diacritics) from Hebrew words, you can use a regular expression to strip the Hebrew characters that are diacritical marks. Here is an updated version of the Python script that includes this functionality:

You said:

My mistake.. parse the text for Hebrew words, to create the new rows.

No problem! To parse the text column specifically for Hebrew words and create new rows for each Hebrew word, we'll need to:

You said:

Please keep the word order the Hebrew words are found in the text

To ensure that the Hebrew words are processed in the correct order, while still preserving their sequence as found in the text, we'll make a small adjustment to how we handle the extraction and processing of Hebrew words.