<prompt> Bapisa le ho bapisa tsebetso ea puo ea tlhaho NLP le pono ea komporo.nan  <response>: Instruction in English: Compare and contrast natural language processing NLP and computer vision. . Response in English: Natural Language Processing NLP and Computer Vision are two subfields of artificial intelligence that allow computers to interact with and understand different aspects of the world.NLP is focused on enabling computers to understand, interpret and generate human language. It is commonly used to develop intelligent systems that can recognize speech, carry out machine translation, conduct sentiment analysis, and generate text, among others. NLA involves the use of several techniques such as tokenization, parsing, named entity recognition, and part-of-speech tagging to help machines understand the structure and meaning of natural language.On the other hand, Computer Vision is concerned with enabling computers to understand and interpret visual information, such as images and videos. This field uses several techniques like image recognition, object detection, semantic segmentation, and optical character recognition, to teach computers to identify and classify different objects, recognize patterns, and even generate new images.In essence, both NLP and Computer Vision are concerned with teaching computers to comprehend the world around them, albeit in different ways. While NLP is focused on understanding language and text, Computer Vision is focused on understanding visual information. Both fields are essential for the development of truly intelligent systems with the ability to interact with humans in a more natural and intuitive way. . Response in Sesotho: Natural Language Processing NLP le Computer Vision ke likaroloana tse peli tsa bohlale ba maiketsetso bo lumellang likhomphutha ho sebelisana le ho utloisisa likarolo tse fapaneng tsa lefatse. NLP e shebane le ho thusa likhomphutha ho utloisisa, ho toloka le ho hlahisa puo ea batho. Hangata e sebelisoa ho hlahisa mekhoa e bohlale e khonang ho lemoha puo, ho fetolela ka mochine, ho etsa tlhahlobo ea maikutlo, le ho hlahisa mongolo, hara tse ling. NLA e kenyelletsa tšebeliso ea mekhoa e mengata e kang tokenization, parsing, regnition entity, le karolo ea puo ho thusa mechine ho utloisisa sebopeho le moelelo oa puo ea tlhaho. Ka lehlakoreng le leng, Computer Vision e sebetsana le ho nolofalletsa likhomphieutha ho utloisisa le ho hlalosa lintlha tse bonahalang, tse kang litšoantšo le livideo. Tšimo ena e sebelisa mekhoa e mengata e kang temoho ea litšoantšo, ho lemoha lintho, karohano ea semantic, le temoho ea sebopeho sa mahlo, ho ruta likhomphutha ho tseba le ho hlophisa lintho tse fapaneng, ho lemoha lipaterone, esita le ho hlahisa litšoantšo tse ncha. Ha e le hantle, NLP le Computer Vision li amehile ka ho ruta likhomphutha ho utloisisa lefatše le li potileng, leha e le ka mekhoa e fapaneng. Le hoja NLP e tsepamisitse maikutlo tabeng ea ho utloisisa puo le mongolo, Computer Vision e tsepamisitse maikutlo ho utloisisa boitsebiso bo bonahalang. Makala ka bobeli a bohlokoa bakeng sa ntsetsopele ea litsamaiso tse bohlale e le kannete tse nang le bokhoni ba ho sebelisana le batho ka tsela ea tlhaho le e hlakileng. 