02734oam 22005775 450 991079604740332120230126215345.010.1596/978-1-4648-1012-1(CKB)3710000001576683(MiAaPQ)EBC4939153(The World Bank)211012(US-djbf)211012(EXLCZ)99371000000157668320020129d2017 uf 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierStepping Up Skills in Urban Ghana : Snapshot of the STEP Skills Measurement Survey /Peter DarvasWashington, D.C. :The World Bank,2017.1 online resource (178 pages)Directions in Development;Directions in Development - Human Development1-4648-1012-5 1-4648-1013-3 Includes bibliographical references at the end of each chapters.Country Context -- Conceptual Framework: Why Is It Important to Focus on Skills? -- Skills Toward Employment and Productivity Data -- Education Issues in Ghana -- Labor Market Participation -- The Use of Cognitive Skills, Job-Specific Skills, and Literacy -- The Returns to Education and Skills: Building the Job-Relevant Skills That Employers Demand -- Mismatch of Skills: A Measurement Issue and Unexploited Potential at Work -- Appendix A-G.The Skills Toward Employment and Productivity (STEP) Survey is an initiative of the World Bank in cooperation with other development partners and nongovernmental agencies and carried out in more than 14 countries globally. In Ghana, the first phase of the survey focusing on adults in urban communities was carried out in cooperation with the University of Ghana's Institute of Statistical, Social, and Economic Research (ISSER), the Ministry of Education, the Council for Technical and Vocational Education and Training (COTVET), and the Ghana Statistical Service (GSS).Directions in Development;Directions in Development - Human DevelopmentWorld Bank e-Library.EmploymentOccupationProductivitySkillsTVETGhanaSocial conditionsEmploymentOccupationProductivitySkillsTVET306.09667Darvas Peter1142803Favara MartaArnold TamaraDJBFDJBFBOOK9910796047403321Stepping Up Skills in Urban Ghana3807964UNINA03824nam 22008293 450 991063399610332120250628110048.0(CKB)5590000001022472(oapen)https://directory.doabooks.org/handle/20.500.12854/94964(MiAaPQ)EBC7152962(Au-PeEL)EBL7152962(OCoLC)1369663900(ODN)ODN0010074719(EXLCZ)99559000000102247220230317d2022 uy 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierVector Semantics1st ed.2022Singapore :Springer,2022.©2023.1 electronic resource (273 p.)Cognitive Technologies9789811956065 9811956065 9789811956072 9811956073 This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics. The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use. In spite of the fact that these two schools both have ‘linguistics’ in their name, so far there has been very limited communication between them, as their historical origins, data collection methods, and conceptual apparatuses are quite different. Vector semantics bridges the gap by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures, by treating each dictionary definition as an equation, and the entire lexicon as a set of equations mutually constraining all meanings.Cognitive TechnologiesNatural language & machine translationbicsscComputational linguisticsbicsscArtificial intelligencebicsscMachine learningbicsscExpert systems / knowledge-based systemsbicsscLiterature: history & criticismbicsscGramàtica cognitivathubSemànticathubLlibres electrònicsthubSemanticsNatural Language ProcessingComputational LinguisticsArtificial Intelligenceexplainable AIArtificial Neural Netslexical semanticsword vectorsembeddingsdynamic embeddingsalgebraic semanticknowledge basesmachine learningNatural language & machine translationComputational linguisticsArtificial intelligenceMachine learningExpert systems / knowledge-based systemsLiterature: history & criticismGramàtica cognitivaSemànticaCOM004000COM025000COM073000LAN009000LAN025000bisacshKornai András972178MiAaPQMiAaPQMiAaPQBOOK9910633996103321Vector Semantics3034547UNINA