<prompt> Thathamisa mekhoa e meraro ea ho ithuta ka mochini e sebelisitsoeng ho Natural Language Processing.Ha ho Kenyeletso  <response>: Instruction in English: List three machine learning techniques used in Natural Language Processing. . Response in English: Three machine learning techniques used in Natural Language Processing are:1. Supervised Learning: It involves training a model on a labeled dataset where the expected output is already known. Some common algorithms used in NLP under supervised learning include Naive Bayes, Support Vector Machines, and Decision Trees. These algorithms are used for tasks such as text classification, sentiment analysis, and named entity recognition.2. Unsupervised Learning: It involves training a model on an unlabeled dataset, where the model attempts to identify the underlying structure of the data. Common algorithms used under unsupervised learning in NLP include clustering analysis, topic modeling, and word embedding techniques. These techniques are used for tasks such as document clustering, topic extraction, and semantic similarity analysis.3. Deep Learning: It encompasses a wide variety of neural network architectures, which aim to mimic human brain functioning to process data. Some common deep learning techniques used in NLP include Recurrent Neural Networks, Long Short-Term Memory, and Transformers. These techniques are used for tasks such as language generation, language translation, and text summarization. . Response in Sesotho: Mekhoa e meraro ea ho ithuta ka mochine e sebelisitsoeng ho Tlhaho ea Puo ea Tlhaho ke: 1. Thuto e Laolehileng: E kenyelletsa ho koetlisa mohlala ho dataset e ngotsoeng moo tlhahiso e lebelletsoeng e seng e tsejoa. Li-algorithms tse ling tse tloaelehileng tse sebelisoang ho NLP tlasa thuto e hlokometsoeng li kenyelletsa Naive Bayes, Support Vector Machines, le Decision Trees. Li-algorithms tsena li sebelisoa bakeng sa mesebetsi e kang ho hlopha mongolo, tlhahlobo ea maikutlo, le kananelo ea mokhatlo. 2. Ho Ithuta ho sa Lebelloa : Ho kenyelletsa ho koetlisa mohlala ho dataset e sa ngolisoang, moo mohlala o lekang ho khetholla sebopeho sa motheo sa data. Li-algorithms tse tloaelehileng tse sebelisoang tlasa thuto e sa laoleheng ho NLP li kenyelletsa tlhahlobo ea lihlopha, mohlala oa lihlooho, le mekhoa ea ho kenya mantsoe. Mekhoa ena e sebelisoa bakeng sa mesebetsi e kang ho kopanya litokomane, ho hula lihlooho, le ho hlahloba ho tšoana ha mantsoe. 3. Thuto e Tebileng: E akaretsa mefuta e mengata e fapaneng ea meralo ea marang-rang ea neural, e ikemiselitseng ho etsisa tsebetso ea boko ba motho ho sebetsana le data. Mekhoa e meng e tloaelehileng ea ho ithuta e tebileng e sebelisoang ho NLP e kenyelletsa Recurrent Neural Networks, Memory ea Nako e Khutšoane ea Nako e Telele, le Transformers. Mekhoa ena e sebelisoa bakeng sa mesebetsi e kang tlhahiso ea puo, phetolelo ea puo le kakaretso ea mongolo. 