Annotation consists of the application of a scheme to texts. Annotations may include structural markup, part-of-speech tagging, parsing, and numerous other representations. Abstraction consists of the translation (mapping) of terms in the scheme to terms in a theoretically motivated model or dataset. Abstraction typically includes linguist-directed search but may include e.g., rule-learning for parsers. Analysis consists of statistically probing, manipulating and generalising from the dataset. Analysis might include statistical evaluations, optimisation of rule-bases or knowledge discovery methods.
Annotation consists of the application of a scheme to texts Annotations may include structural markup part-of-speech tagging parsing and numerous other representations Abstraction consists of the translation (mapping) of terms in the scheme to terms in a theoretically motivated model or dataset Abstraction typically includes linguist-directed search but may include eg rule-learning for parsers Analysis consists of statistically probing manipulating and generalising from the dataset Analysis might include statistical evaluations optimisation of rule-bases or knowledge discovery methods