@article {zillig_tei_2009,
	title = {TEI Analytics: converting documents into a TEI format for cross-collection text analysis},
	journal = {Literary and Linguistic Computing},
	volume = {24},
	number = {2},
	year = {2009},
	note = {00012},
	month = {jun},
	pages = {187{\textendash}192},
	abstract = {In theory, Zillig and Pytlik argue, TEI-XML documents can be combined into a large corpus and search across because they are written in the same mark-up language. However, in practice, most TEI-XML mark-up schemes are highly customized and are, therefore, interoperable. In order to remedy this incompatibility and to expand the usefulness of TEI, Zillig and Pytlik introduce MONK: an application with the goal amalgamating digital projects into a single, searchable interface. MONK has developed a common TEI format - TEI Analytics - that is P5 compliant and helps to facilitate interoperability be relying the the project{\textquoteright}s common denominators rather than their individual customizations. As Zillig and Pytlik remark in closing, TEI-A is all about "making patterns already present across large numbers of textual objects noticeable."},
	issn = {0268-1145, 1477-4615},
	doi = {10.1093/llc/fqp005},
	url = {http://llc.oxfordjournals.org/content/24/2/187},
	author = {Zillig, Brian L. Pytlik}
}