XML Document Structure

It is possible to look up a large amount of data regarding the texts collected in the BCCWJ, as illustrated below.

Bibliographical Information
Citation information (Title, Author Name, Publishing Company, Publication Year, Genre)
Japanese character information
Character readings, misprints, JIS encoding, calculation superscripting, subscript information
Structure Information
Information regarding the layered structure of the text (article, paragraph, sentence, captions, quotations, itemized lists, etc.)
Data Sampling Information
Information about the scope of Fixed-length samples.

Description of XML

The above information is compiled using XML markup. For example, take the following text:

sashie1

The above text will then be digitized as in the following example. The sections enclosed in < > are called tags. What type of tags are available and how they are organized has a large influence on how information can be accessed in the corpus.

sashie2

Tag Types and Meanings

This section will explain the tags used in the BCCWJ.

	Tag Name	Contents
Samples	sample	The scope of a single sample.
Samples	sampling	Information related to the sampling points.
Layered Structure (Document Structure)	article	Identifies author and theme.
	title	Gives a title descriptive of the contents, such as a chapter or article title.
	cluster	Marks the whole text of a title tag.
	list	Itemized lists or lists of noun phrases. For list elements.
	paragraph	Marks the boundaries of paragraphs.
	sentence	Marks sentence boundaries.
Charts  (Document Structure)	figure	Figures・Charts・Photos・Pictures, and others
Charts  (Document Structure)	caption	Titles and explanations of figures.
Citations (Document Structure)	citation	Any citations of other documents.
Citations (Document Structure)	speech	Speech and internal monologues, opening sentences.
Annotation (Document Structure)	noteBody	Footnotes, endnotes, etc. An element describing or annotating the original text.
Other (Document Structure)	abstract	Outlines that do not fit under the article or cluster tags.
Other (Document Structure)	verse	Verses of poems、waka、haiku、songs, etc.
Characters and Transcription	ruby	Readings of Kanji characters
	correction	Corrections of mistakes in the original text.
	missingCharacter	Characters not included in the standard encoding (non-JIS).