In this paper, we develop a methodology for discovering the thematic structure of the Qur’an based on a fundamental idea in data mining and related disciplines: that, with respect to some collection of texts, the lexical frequency profiles of the individual texts are a good indicator of their conceptual content, and thus provide a reliable criterion for their classification relative to one another.
Nowadays it is hard to find areas of human activity and development that have not
profited from or contributed to remote sensing. Natural, physical and social activities
find in remote sensing a common ground for interaction and development. From the
end-user point of view, Earth science, geography, planning, resource management,
public policy design, environmental studies, and health, are some of the areas whose
recent development has been triggered and motivated by remote sensing.
Microorganisms are single-celled organisms are small, not observed with the naked eye but to use a microscope. The term microbial does not correspond to any taxon in scientific classification. It includes viruses, bacteria, archaea, fungi, microscopic algae, protozoa. Etc.
In this paper we argue that lexicalselection plays a more important role in the generation process than has commonly been assumed. To stress the importance of lexicalsemantic input to generation, we explore the distinction and treatment of generating open and closed cla~s lexical items, and suggest an additional classification of the latter into discourse-oriented and proposition-oriented items. Finally, we discuss how lexical selection is influenced by thematic ([oc~) information in the input. ...