<prompt> Ke mofuta ofe o atileng haholo oa ho ithuta ka mochini o sebelisoang bakeng sa tsebetso ea puo ea tlhaho?Ha ho Kenyeletso  <response>: Instruction in English: What is the most common type of machine learning used for natural language processing? . Response in English: The most common type of machine learning used for natural language processing is supervised learning. This involves feeding a machine learning algorithm with labeled training data, where the input features are natural language text and the output is a specific classification, such as sentiment or topic. The algorithm learns to identify patterns in the text and make predictions based on those patterns. Some popular supervised learning techniques used in natural language processing include Naive Bayes, Decision Trees, Support Vector Machines and Neural Networks. . Response in Sesotho: Mofuta o atileng haholo oa ho ithuta ka mochini o sebelisoang bakeng sa tsebetso ea puo ea tlhaho ke thuto e hlokometsoeng. Sena se kenyelletsa ho fepa algorithm ea ho ithuta ka mochini e nang le lintlha tsa koetliso tse ngotsoeng, moo likarolo tsa ho kenya e leng mongolo oa puo ea tlhaho me tlhahiso e le mofuta o ikhethileng, joalo ka maikutlo kapa sehlooho. Algorithm e ithuta ho khetholla lipaterone mongolong le ho etsa likhakanyo tse ipapisitseng le lipaterone tseo. Mekhoa e meng e tsebahalang e hlokometsoeng ea ho ithuta e sebelisoang tsebetsong ea puo ea tlhaho e kenyelletsa Naive Bayes, Lifate tsa Qeto, Mechini ea Tsehetso ea Vector le Neural Networks. 