<prompt> Ngola lenaneo la ho ithuta ka mochini ho lemoha bosholu ka mengolo.Sengoliloeng sa Essay: Moqoqo ke sengoathoana se fetisang maikutlo a mongoli mabapi le taba. E na le motsoako oa lintlha le mehopolo mabapi le sehlooho se buuoeng.  <response>: Instruction in English: Write a machine learning program to detect plagiarism in essays. . Response in English: Plagiarism is a serious issue in academic and professional writing. To detect plagiarism in essays, we can use machine learning techniques to compare the submitted essay text with a large database of materials and published sources.Here is an example of a machine learning program that can be used to detect plagiarism in essays:1. Preprocessing: The first step is to preprocess the essay text by removing punctuation, stop words, and converting all text to lowercase. This will help in the next step to extract relevant features from the text.2. Feature Extraction: Next, we extract relevant features from the text, which can be used to compare the submitted essay with other sources. Features could include term frequency-inverse document frequency TF-IDF vectors, which measure the importance of certain words in the text relative to a larger corpus of documents. Another feature is cosine similarity, which measures the similarity between two documents based on the angle between their TF-IDF vectors.3. Model Training: The next step is to train a machine learning model on a dataset of known plagiarized and non-plagiarized essays. The model can be trained using different algorithms like logistic regression, Naive Bayes, or Support Vector Machines SVMs. The goal is to find a model that can accurately classify whether an essay is plagiarized or not based on the extracted features.4. Prediction: Finally, we can use the trained model to predict whether the input essay is plagiarized or not. If the model predicts that the essay is plagiarized, we can search for the source of the plagiarism by comparing it with the database of materials and identifying where the text may have been copied from.In conclusion, we can use machine learning techniques to develop a program that can accurately detect plagiarism in essays, helping to maintain the integrity of academic and professional writing. . Response in Sesotho: Ho qhekella ke taba e tebileng litabeng tsa thuto le tsa profeshenale. Ho bona bosholu mengolong, re ka sebelisa mekhoa ea ho ithuta ka mochini ho bapisa mongolo oa moqoqo o rometsoeng le database e kholo ea lisebelisoa le mehloli e phatlalalitsoeng. Mohlala ke ona oa lenaneo la ho ithuta ka mochini le ka sebelisoang ho lemoha boqhetseke lingoloeng: 1. Ho sebetsa esale pele: Mohato oa pele ke ho lokisa mongolo oa moqoqo esale pele ka ho tlosa matšoao a puo, ho emisa mantsoe, le ho fetolela mongolo oohle litlhaku tse nyane. Sena se tla thusa mohatong o latelang ho ntša likarolo tse nepahetseng ho tsoa sengolong. 2. Tlhahiso ea Tšobotsi: Ka mora moo, re ntša lintlha tse amehang temaneng, tse ka sebelisoang ho bapisa moqoqo o rometsoeng le mehloli e meng. Likarolo li ka kenyelletsa li-vector tsa term frequency-inverse document frequency TF-IDF, tse lekanyang bohlokoa ba mantsoe a itseng temaneng e amanang le pokello e kholo ea litokomane. Tšobotsi e ngoe ke ho tšoana ha cosine, e lekanyang ho tšoana pakeng tsa litokomane tse peli ho latela angle pakeng tsa li-vector tsa bona tsa TF-IDF. 3. Koetliso ea Mehlala: Mohato o latelang ke ho koetlisa mohlala oa ho ithuta ka mochini ka pokello ea lintlha tsa mengolo e tsebahalang le e sa utsuoang. Moetso ona o ka koetlisoa ho sebelisoa li-algorithms tse fapaneng joalo ka ho fokotseha ha lintho, Naive Bayes, kapa Mechini ea Tsehetso ea Vector SVMs. Sepheo ke ho fumana mohlala o ka khethollang ka nepo hore na moqoqo o ngotsoe kapa che ho latela likarolo tse ntšitsoeng. 4. Prediction: Qetellong, re ka sebelisa mmotlolo o koetlisitsoeng ho bolela esale pele hore na moqoqo o ngotsoeng o ngotsoe kapa che. Haeba mohlala o bolela esale pele hore moqoqo o kopitsoe, re ka batla mohloli oa bosholu ka ho o bapisa le database ea lisebelisoa le ho tseba hore na mongolo o kopitsoe hokae. Qetellong, re ka sebelisa mekhoa ea ho ithuta ka mochini ho theha lenaneo le ka lemohang boqhetseke ka nepo mengolong, ho thusa ho boloka botsepehi ba ho ngola ha thuto le litsebi. 