  This paper describes some of the recent work of project AMALGAM (automatic
mapping among lexico-grammatical annotation models). We are investigating ways
to map between the leading corpus annotation schemes in order to improve their
resuability. Collation of all the included corpora into a single large
annotated corpus will provide a more detailed language model to be developed
for tasks such as speech and handwriting recognition. In particular, we focus
here on a method of extracting mappings from corpora that have been annotated
according to more than one annotation scheme.
