<prompt> Nahana ka mekhoa e ka sebelisoang ea sehlooho se fanoengTlhaho ea Puo ea Tlhaho  <response>: Instruction in English: Brainstorm potential applications of the given subject . Response in English: 1. Sentiment Analysis: Analyzing opinions or emotions expressed within large volumes in text, such as social media or customer reviews.2. Speech Recognition: Converting spoken language into text for applications, such as virtual assistants, dictation or subtitles.3. Machine Translation: Translating text from one language to another, improving language accessibility and communication.4. Chatbots: Improving customer communication on digital platforms with the help of chatbots, which use NLP to interpret and appropriately respond to users.5. Text Summarization: Automatically summarizing large documents or articles, to enable users to quickly understand the key points.6. Information Retrieval: Employing NLP techniques to efficiently conduct text-based search and enable better information discovery.7. Text Classification: Organizing and sorting large volumes of text, such as emails or help desk tickets, into appropriate categories, increasing workplace productivity.8. Automatic Text Completion: Using NLP to predict and complete phrases, whole words or possibly entire sentences, improving typing efficiency and speed.9. Linguistic Analysis: Leveraging NLP to analyze linguistic data, such as syntax and grammatical structures, for research or educational purposes.10. Language Generation: Generating coherent and well-structured text, such as reports or news articles, from structured data, such as financial statements or sports scores. . Response in Sesotho: 1. Tlhahlobo ea Maikutlo: Ho sekaseka maikutlo kapa maikutlo a hlahisoang ka bongata bo bongata ka mongolo, joalo ka mecha ea litaba ea sechaba kapa maikutlo a bareki. 2. Kamohelo ea Puo: Ho fetolela puo e buuoang hore e be mongolo bakeng sa litsebetso, joalo ka bathusi ba sebele, mantsoe a ngotsoeng kapa mongolo. 3. Phetolelo ea Mochini: Ho fetolela mongolo ho tloha puong e ngoe ho ea ho e ngoe, ho ntlafatsa phumaneho ea puo le puisano. 4. Li-Chatbots: Ho ntlafatsa puisano ea bareki ho li-platform tsa digital ka thuso ea li-chatbots, tse sebelisang NLP ho fetolela le ho arabela ka mokhoa o nepahetseng ho basebelisi. 5. Kakaretso ea Sengoloa: Ho akaretsa litokomane tse kholo kapa lingoloa ka boiketsetso, ho thusa basebelisi ho utloisisa lintlha tsa bohlokoa kapele. 6. Phatlalatso ea Tlhahisoleseding: Ho sebelisa mekhoa ea NLP ho etsa lipatlisiso tse thehiloeng ho mongolo le ho etsa hore ho sibolloe litaba hantle. 7. Tlhophiso ea Lingoliloeng: Ho hlophisa le ho hlophisa lingoloa tse ngata, joalo ka li-imeile kapa litekete tsa deske ea thuso, ka mekhahlelo e nepahetseng, ho eketsa tlhahiso ea mosebetsing. 8. Ho Phetha Sengoloa ka Motlakase: Ho sebelisa NLP ho bolela esale pele le ho phethela lipolelo, mantsoe a felletseng kapa mohlomong lipolelo tse felletseng, ho ntlafatsa bokhoni ba ho ngola le lebelo. 9. Tlhahlobo ea Lipuo: Ho sebelisa NLP ho hlahloba lintlha tsa lipuo, tse kang syntax le libopeho tsa sebōpeho-puo, bakeng sa lipatlisiso kapa merero ea thuto. 10. Hlahisa Puo: Ho hlahisa mongolo o momahaneng le o hlophisitsoeng hantle, joalo ka litlaleho kapa lingoliloeng tsa litaba, ho tsoa ho data e hlophisitsoeng, joalo ka litlaleho tsa lichelete kapa lintlha tsa lipapali. 