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TEI 2017 Conference Abstracts.
This paper offers a framework for assignments that use custom TEI schema to compile students’ annotations of a common text’s features (linguistic, semantic, structural, cultural) as a means of comparing human interpretations.
No matter how often we demonstrate it, remonstrate its neglect, or illustrate its terms and tropes, there’s no better way to teach close-reading skills than forcing students to try it. Individual results will vary, but the aggregate result will be a working consensus about the patterns and variations in a text that seem to reveal the writer’s deliberate choices, or have the greatest effect on readers. This paper offers a framework for assignments that use custom TEI schema to compile students’ annotations of a common text’s features (linguistic, semantic, structural, cultural) as a means of comparing human interpretations. It builds on the work of Kate SingerFeatured like him, like him with friends possessed
) or similes (my state, Like to the lark at break of day
). Such automated detection might train human readers, while freeing them to concentrate on more complex high-level features like metaphors (It is the star to every wandering bark
) or allusions. All is predicated on a set of interoperable close-readings that enable, but do not foreclose, new interpretations of texts at every level.