<prompt> Hlalosa mosebetsi oa tlhahiso ea puo ea tlhaho NLG.nan  <response>: Instruction in English: Describe the task of natural language generation NLG. . Response in English: Natural Language Generation NLG is a subfield of artificial intelligence that focuses on generating natural language text or speech from data or structured information. This process involves several stages, including data analysis, narrative planning, and content realization. NLG systems aim to transform raw data into human-like language, by applying a set of rules or algorithms to determine the appropriate structure, vocabulary, and phrasing.The goal of NLG is to produce coherent, fluent, and well-structured sentences, paragraphs, or whole documents, that are indistinguishable from content created by a human. This can be used for a wide range of applications, such as generating reports, news articles, chatbot responses or even personalized content. The task of NLG is to make communication between computers and humans more accessible and intuitive, by allowing machines to generate responses in ways that sound natural and are easy to understand. This is a complex task that requires a deep understanding of language and its intricacies, as well as the ability to apply computational methods to generate coherent and meaningful content. . Response in Sesotho: Natural Language Generation NLG ke karoloana ea bohlale ba maiketsetso bo shebaneng le ho hlahisa mongolo oa puo ea tlhaho kapa puo ho tsoa ho data kapa tlhaiso-leseling e hlophisitsoeng. Tsebetso ena e kenyelletsa mehato e maloa, ho kenyelletsa tlhahlobo ea data, moralo oa nalane, le ho phethahala ha litaba. Litsamaiso tsa NLG li ikemiselitse ho fetola data e tala hore e be puo e kang ea motho, ka ho sebelisa melao kapa li-algorithms ho fumana sebopeho se nepahetseng, pokello ea mantsoe le mantsoe. Sepheo sa NLG ke ho hlahisa lipolelo, lirapa, kapa litokomane tse feletseng, tse lumellanang, tse hlakileng le tse hlophisitsoeng hantle, tse ke keng tsa khetholloa ho tloha ho litaba tse entsoeng ke motho. Sena se ka sebelisoa bakeng sa litsebetso tse fapaneng, joalo ka ho hlahisa litlaleho, lingoliloeng tsa litaba, likarabelo tsa chatbot kapa litaba tse ikhethileng. Mosebetsi oa NLG ke ho etsa hore puisano pakeng tsa likhomphieutha le batho e fumanehe haholoanyane le e utloahalang, ka ho lumella mechine hore e hlahise likarabo ka litsela tse utloahalang le tse bonolo ho li utloisisa. Ona ke mosebetsi o rarahaneng o hlokang kutloisiso e tebileng ea puo le ho rarahana ha eona, hammoho le bokhoni ba ho sebelisa mekhoa ea khomphutha ho hlahisa litaba tse momahaneng le tse nang le moelelo. 