<prompt> Hlalosa mehato e meli ea mantlha tsebetsong ea puo ea tlhaho.nan  <response>: Instruction in English: Describe two main steps in natural language processing. . Response in English: Natural Language Processing, often shortened as NLP, is a field of computer science that focuses on the interactions between humans and computers using natural language. It involves the application of computational techniques to the analysis, synthesis, and comprehension of human language. There are two main steps involved in natural language processing:1. Text Processing: This is the initial step in NLP and involves the transformation of raw data into a format that is easily understandable by computers. Text processing includes tokenization breaking down text into individual words or tokens, lemmatization reducing words to their base form, stemming removing word suffixes, and stop-word removal eliminating common words that carry minimal meaning, such as a, an, and the.2. Feature Extraction and Analysis: After the text has been processed, the next step is to extract relevant features and analyze them to understand the underlying context and meaning. This includes part-of-speech tagging identifying the grammatical category of words, named entity recognition identifying and categorizing named entities such as people, organizations, and locations, sentiment analysis determining the subjectivity and tone of the text, and topic modeling identifying themes or topics within the text.These two steps form the foundation of natural language processing and are essential for building robust NLP systems that can effectively understand, analyze, and generate human language. . Response in Sesotho: Natural Language Processing, eo hangata e khutsufalitsoeng joalo ka NLP, ke karolo ea mahlale a khomphutha e shebaneng le tšebelisano lipakeng tsa batho le likhomphutha tse sebelisang puo ea tlhaho. E ama tshebediso ya dithekeniki tsa khomphutha tshekatshekong, popollong le ho utlwisisa puo ya batho. Ho na le mehato e meli ea mantlha e amehang tsebetsong ea puo ea tlhaho: 1. Tlhahiso ea Lingoliloeng: Ona ke mohato oa pele ho NLP mme o kenyelletsa phetoho ea data e tala hore e be sebopeho se utloisisoang habonolo ke likhomphutha. Tsebetso ea mongolo e kenyelletsa tokenization ho arola mongolo hore e be mantsoe kapa li-tokens, lemmatization ho fokotsa mantsoe ho ea ka sebopeho sa bona sa motheo, stemming ho tlosa li-suffixes, le ho tlosa mantsoe a emisang ho felisa mantsoe a tloaelehileng a nang le moelelo o fokolang, joalo ka , an, le the. 2. Tlhaloso le Tshekatsheko ya Sebopeho: Kamora hore sengolwa se sebetswe, kgato e latelang ke ho ntsha dikarolo tse amehang le ho di sekaseka ho utlwisisa moelelo wa motheo le moelelo. Sena se kenyelletsa ho tšoaea karolo ea puo ho khetholla sehlopha sa sebōpeho-puo sa mantsoe, kananelo ea mokhatlo ho khetholla le ho arola likarolo tse kang batho, mekhatlo le libaka, tlhahlobo ea maikutlo ho khetholla taba le molumo oa mongolo, le mohlala wa dihlooho ho hlwaya dihlooho kapa dihlooho ka hara sengolwa. Mehato ena e meli e theha motheo oa tsebetso ea puo ea tlhaho me e bohlokoa bakeng sa ho aha litsamaiso tse matla tsa NLP tse ka utloisisang, ho sekaseka le ho hlahisa puo ea batho ka nepo. 