Displaying items by tag: machine learning

Author: Dimakatso Mathe (SADiLaR Sesotho sa Leboa Researcher)

Part-of-speech tagger, yeo e tla  bitšwago sehlathahlophantšu go tloga mo, ke sedirišwa sa theknolotši seo se dirišwago go fetleka mantšu ao a ngwadilwego a polelo ye e itšego gomme sa laetša gore mantšu ao a wela dihlopheng dife tša mantšu ka go phara setlankana se se hlalošago sehlopha sa lentšu (tag). Se šomiša lenaneo la ditlankana (tagset) leo le ithekgilego ka dihlopha tša mantšu tšeo di filwego tša polelo gore se kgone go hlatha mantšu. Dihlopha tša mantšu di na le khuetšo ye kgolo bokgoning bja setlabelwa se gore se hlathe goba gona go laetša dihlopha tša mantšu. Gore re kgone go kwešiša se gabotse, re tla swanela ke go hlaloša ganyane ka dihlopha tša mantšu tša Sesotho sa Leboa.

Paulos le Louwrens (1994) ba hlaloša dihlopha tše lesome, e lego maina, mašala, madiri, malahlelwa, makopanyi, mathušamadiri, mabotšiši, mašupi, leba, gammgo le maamanyi. Go feta fao, dihlopha tša mantšu tše dingwe di ka arolwa gape go ya ka mehuta goba dikarolwana tše di hwetšagalo ka fase ga lentšukakaretšo la sehlopha sa mantšu. Go fa mohlala, mašala le maina a ka arolwa go ya ka magoro a maina. Tšhomišo ya magoro a maina ke ye nngwe ya dipharologanyo tšeo di ikgethilego tše di lego molaleng bontšing bja maleme a Seafrika ge a bapetšwa le maleme a mangwe a mehlobo e šele. Ge sehlathahlophantšu se ka laetša maina ntle le go hlatha magoro a maina, gona se tla be se sa abe tshedimošo yeo e kgotsofatšago ka dipolelo tša Seafrika. Ka fao, didirišwa tšeo di lego gona tša sehlathahlophantšu tša Sesotho sa Leboa le maleme a mangwe a semmušo a Afrika Borwa, di laetša tshedimošo ye ka ge go laeditšwe seswantšhong sa ka fase seo se tšerwego thwi go tšwa go sedirišwa sa sehlathahlophantšu.

Seswantšho

During the month of January, the isiXhosa researcher from the South African Centre for Digital Language Resources (SADiLaR), the Siswati researcher and a programmer were fortune enough to be selected to attended a summer school in Pretoria, which was organised by the University of Pretoria’s Department of Information Science together with the Data-Intensive Research Initiative of South Africa (DIRISA), SADiLaR and Network of Data and Information Curation Communities (NeDICC). The CODATA-RDA Research Data summer school ran from 13 – 24 January 2020.

It was such a privilege to be part of the group of Africans to attend the first summer school presented in South Africa which provided a group of early career researchers with the essential data science skills which include technical skills and responsible research practices, to enable them to work with data in an effective and efficient manner required by the fast paced 21st century.