<prompt> Ke mekhoa efe e lokelang ho sebelisoa bakeng sa kakaretso ea mongolo?nan  <response>: Instruction in English: What techniques should be used for text summarization? . Response in English: Text summarization is a natural language processing technique that involves condensing the source text into a shorter version while retaining its main information and meaning. Some of the commonly used techniques for text summarization include:1. Extraction-based Summarization: This technique involves selecting the most important phrases or sentences from the source text and concatenating them to form a summary. This is achieved by assigning importance scores to the sentences and then selecting those with the highest scores.2. Abstraction-based Summarization: This involves paraphrasing or rewriting the source text to create a summary. Instead of selecting important sentences, an abstraction-based technique generates new sentences that convey the main information from the source text.3. Statistical Summarization: This approach is based on statistical measures of word frequencies, sentence length and position, and other features. The sentences with the highest values are then included in the summary.4. Keyword-based Summarization: In this technique, the most important keywords are identified and ranked according to their importance. Sentences containing those keywords are then included in the summary.5. Machine learning-based Summarization: This technique involves using machine learning algorithms to learn the features of the text and generate summaries. This can be done using supervised or unsupervised machine learning techniques.6. Hybrid Summarization: This technique involves combining two or more of the above methods to generate summaries.Each technique has its own strengths and weaknesses, and the choice of technique would depend on the specific requirements of the task at hand. . Response in Sesotho: Kakaretso ea mongolo ke mokhoa oa tlhaho oa ho sebetsana le puo o kenyelletsang ho khutsufatsa mongolo oa mohloli hore e be mofuta o khutsoane empa o ntse o boloka lintlha le moelelo oa mantlha. Tše dingwe tša dithekniki tšeo di šomišwago gantši tša kakaretšo ya dingwalwa di akaretša: 1. Kakaretšo ye e theilwego go tsopologo: Thekniki ye e akaretša go kgetha dipolelwana goba dipolelo tše bohlokwa go tšwa sengwalong sa mothopo le go di kgokaganya go bopa kakaretso. Sena se finyelloa ka ho abela lintlha tsa bohlokoa lipolelong ebe ho khethoa ba nang le lintlha tse phahameng ka ho fetisisa. 2. Kakaretso e thehiloeng ho Ntlheng: Sena se kenyelletsa ho qaqisa kapa ho ngola bocha mongolo oa mohloli ho etsa kakaretso. Ho e-na le ho khetha lipolelo tsa bohlokoa, mokhoa o itšetlehileng ka ho khutsufatsa o hlahisa lipolelo tse ncha tse fetisang lintlha tsa sehlooho ho tsoa mohloling. 3. Kakaretso ea Lipalopalo: Mokhoa ona o ipapisitse le litekanyo tsa lipalo tsa maqhubu a mantsoe, bolelele ba polelo le boemo, le likarolo tse ling. Lipolelo tse nang le litekanyetso tse phahameng ka ho fetisisa li kenyelelitsoe kakaretsong. 4. Kakaretso ea mantsoe a sehlooho: Ka mokhoa ona, mantsoe a bohlokoa ka ho fetisisa a khetholloa le ho behoa ho latela bohlokoa ba ona. Lipolelo tse nang le mantsoe ao a sehlooho li kenyellelitsoe kakaretsong. 5. Kakaretso ea ho ithuta ka mochini: Mokhoa ona o kenyelletsa ho sebelisa li-algorithms tsa ho ithuta ka mochini ho ithuta likarolo tsa mongolo le ho hlahisa kakaretso. Sena se ka etsoa ho sebelisoa mekhoa ea ho ithuta ea mochini e hlokometsoeng kapa e sa laoleheng. 6. Kakaretso e Kopanetsoeng: Mokhoa ona o kenyelletsa ho kopanya mekhoa e meli kapa ho feta ea e ka holimo ho hlahisa kakaretso. Theknoloji ka ngoe e na le matla le mefokolo ea eona, me khetho ea theknoloji e ne e tla itšetleha ka litlhoko tse khethehileng tsa mosebetsi o etsoang. 