<prompt> Tayarisha programu ya kutambua na kuashiria lugha yenye kuudhi.  <response>: Offensive language identification is an important task in text analysis for ensuring online safety and promoting healthy discussions. Here is a Python program that can identify and flag offensive language in a given text:pythonimport nltkfrom nltk.corpus import stopwordsfrom nltk.tokenize import word_tokenize load set of offensive words from a filewith openoffensive_words.txt, r as f: offensive_words setf.read.splitlinesdef flag_offensive_languagetext: tokenizing the text into individual words tokenized_text word_tokenizetext converting all words to lowercase for comparison tokenized_text word.lower for word in tokenized_text removing stop words to reduce noise tokenized_text word for word in tokenized_text if word not in stopwords.wordsenglish flagging offensive words present in text for word in tokenized_text: if word in offensive_words: printfOffensive word detected: word example usagetext this is some nice text with no bad wordsflag_offensive_languagetexttext this text contains a very bad wordflag_offensive_languagetextThis program utilizes the stopwords and word_tokenize functions from the nltk library for text preprocessing. The offensive words are loaded from a file named offensive_words.txt, which should contain one offensive word per line. The program tokenizes the input text, converts all words to lowercase, removes stop words, and then checks if any word in the tokenized text is present in the set of offensive words. If an offensive word is found, it is flagged and printed.This is a basic implementation and can be improved upon by using advanced techniques such as natural language processing or machine learning to better detect offensive language, which may not necessarily be included in a static list. 