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