MedKhem

Sub/superscript are displayed as plain text characters in the TEI output

5

First re-flexion, identify piece of text as sub/superscript based on position, fonts, etc.

Well formation error in the final TEI output

4

An internal validation scheme should be probably added

When the morphological is processed, extracting the list of lemmas and pos should be possible

the existing "parse full dictionary" service doesn't allow the user to get the parsing results of specific models like form or sense

more labels could be used to encode a lexical entry other than: \, \, \, \ and \.

For each model, 2 commands should be available: one for raw text creation (to be annotated from scratch) and one with pre-annotated text (which is going to be refined in...

After adding and testing new models, their output should follow the same logic as previous models (case when the entry is cut on 2 pages)

Implement components for parsing and segmenting etymological information in etymology section detected in a lexical entry