Our Semantic Gist engine uses advanced
cognitive semantic analysis to extract the meaning of data.
Not exact matches
As the age cohort × time × sex interactions (reasoning P = 0.59; memory P = 0.12; phonemic fluency P = 0.005;
semantic fluency P = 0.02; and vocabulary P = 0.006) suggested sex differences in
cognitive decline for some tests, we also stratified these
analyses by sex.
Objective: To lay the groundwork for a general theory («Super Semantics») that will offer a comparative
analysis of meaning in language (spoken and signed languages), in gestures, in music, and in primate communication, and will probe the
cognitive and evolutionary origins of these diverse
semantic systems.