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processing.py

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+import re
+
+
+import re
+
+def parse_text(data):
+    """
+    Parses a list of text data into English and Lio language lists.
+
+    Args:
+        data (list): A list of strings containing text data.
+
+    Returns:
+        tuple: A tuple containing two lists: English language data and Lio language data.
+    """
+    # Clean the data by removing unwanted characters and formatting
+    cleaned_data = [re.sub(r'^\ufeff?\d+\t|\b\d+\)\s*', '', re.sub(r'\t+', '\t', text)).replace('\t\n', '').replace('\ufeff', '') for text in data]
+
+    # Split the data into English and Lio lists
+    eng_data, lio_data = [], []
+    sublist = []
+
+    for item in cleaned_data:
+        # Replace tabs with spaces
+        item = item.replace('\t', ' ')
+        if item != '':
+            sublist.append(item)
+        else:
+            if sublist:
+                # Append sublist to result if not empty
+                eng_data.append(sublist[-1])
+                lio_data.append(sublist[0])
+                sublist = []
+
+    # Append the remaining sublist if any
+    if sublist:
+        eng_data.append(sublist[-1])
+        lio_data.append(sublist[0])
+
+    return eng_data, lio_data
+
+def parse_wordlist(data):
+    """
+    Parses a word list for translation into English, Indonesian, and Nage languages.
+
+    Args:
+        data (list): A list of strings containing word list data.
+
+    Returns:
+        tuple: A tuple containing three lists: English words, Indonesian words, and Nage words.
+    """
+    # Clean the data by removing unwanted characters and formatting
+    cleaned_data = [re.sub(r'^\ufeff?\d+\t|\b\d+\)\s*', '', re.sub(r'\t+', '\t', text)).replace('\t\n', '').replace('\ufeff', '') for text in data]
+    
+    # Remove empty elements
+    cleaned_data = [elem for elem in cleaned_data if elem != '']
+    
+    eng_word = []
+    nage_word = []
+    ind_word = []
+    
+    for item in cleaned_data:
+        split_data = item.split()
+        # make sure that we only get [eng, ind, nage] because the actual wordlist have 
+        # added 'comment' column and not all the words have their comments
+        if len(split_data) == 3: 
+            eng_word.append(split_data[0])
+            ind_word.append(split_data[1])
+            nage_word.append(split_data[2])
+
+    return eng_word, ind_word, nage_word
+
+
+
+