<prompt> Etsa setšoantšo sa phallo ho bontša mokhoa oa ho sebetsa puo ea tlhaho.nan  <response>: Instruction in English: Create a flow chart to illustrate the process of natural language processing. . Response in English: Unfortunately, I am an AI language model and do not have the capability to draw a flowchart. However, I can describe the steps involved in the natural language processing NLP process in a sequence, which can be arranged in a form of a flowchart. Here are the steps:1 Tokenization This step segments the input text into individual parts called tokens, usually split by spaces, punctuation or sentence boundaries.2 Part-of-Speech POS Tagging This step assigns a POS like noun, verb, adjective, etc. to each token based on both its definition and its context. 3 LemmatizationStemming This step reduces tokens to their base or root form. This is done either by determining the correct lemma of each word, or by reducing it to its stem.4 Dependency Parsing This step identifies the dependency relationships between tokens so that the structural form of sentence can be analyzed. It creates a tree-like structure where words are connected to each other based on grammatical dependencies.5 Named Entity Recognition NER This step tags named entities like proper nouns, locations, time expressions, and other entity types defined based on the applications purpose.6 Sentiment Analysis This step uses techniques like polarity analysis and subjectivity analysis to determine the psychological, emotional, or evaluative sentiment behind the text.7 Topic ModelingConcept Extraction This final step aims to extract the underlying or latent topicsconcepts discussed in the text.The above steps can be arranged in a flowchart with directional arrows connecting each step in sequence to illustrate the NLP process. . Response in Sesotho: Ka bomalimabe, ke mohlala oa puo ea AI me ha ke na bokhoni ba ho taka chate. Leha ho le joalo, nka hlalosa mehato e amehang tsebetsong ea puo ea tlhaho NLP ka tatellano, e ka hlophisoang ka mokhoa oa ho phalla. Mehato ke ena: 1 Tokenization - Mohato ona o arola mongolo oa mongolo ka likarolo tse ikemetseng tse bitsoang li-tokens, hangata li arotsoe ka libaka, matšoao kapa meeli ea polelo. 2 Karolo-ea-Puo POS Tagging - Mohato ona o abela POS joaloka lebitso, leetsi, lehlalosi, joalo-joalo ho letšoao le leng le le leng ho latela tlhaloso ea lona le moelelo oa eona. 3 Lemmatization Stemming - Mohato ona o fokotsa li-tokens ho ea motheo oa tsona kapa sebopeho sa motso. Sena se etsoa ka ho fumana lemma e nepahetseng ea lentsoe ka leng, kapa ka ho le fokotsa ho fihlela kutu ea lona. 4 Dependency Parsing -Mohato ona o supa likamano tsa ho itsetleha lipakeng tsa tokens e le hore sebopeho sa polelo se tle se hlahlojoe. E etsa sebopeho se kang sefate moo mantsoe a hokahaneng ho ipapisitsoe le ho itsetleha ha thutapuo. 5 Tlhahiso ea Setheo e reheletsoeng NER - Li-tag tsa mohato ona tse rehelletsoeng ka mabitso, libaka, lipolelo tsa nako, le mefuta e meng ea mekhatlo e hlalosoang ho latela sepheo sa tsebeliso. 6 Tlhahlobo ea Maikutlo - Mohato ona o sebelisa mekhoa e kang tlhahlobo ea polarity le tlhahlobo ea maikutlo ho fumana maikutlo a kelello, a maikutlo, kapa a tlhahlobo ka morao ho sengolwa. 7 Moetso oa SehloohoMohopolo oa Khopolo Mohato ona oa ho qetela o reretsoe ho ntša lihloohomenahano e sa bonahaleng e tšohliloeng temaneng. Mehato e ka holimo e ka hlophisoa ka chate e nang le metsu e lebisang moo e hokahanyang mohato o mong le o mong ka tatellano ho bontša tsebetso ea NLP. 