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IMS Corpus Workbench -- Demonstration Corpus 
Size: 3.4 million tokens
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This corpus is a collection of novels by Charles Dickens:

- A Christmas Carol
- David Copperfield
- Dombey and Son
- Great Expectations
- Hard Times
- Master Humphrey's Clock
- Nicholas Nickleby
- Oliver Twist
- Our Mutual Friend
- Sketches by BOZ
- A Tale of Two Cities
- The Old Curiosity Shop
- The Pickwick Papers
- Three Ghost Stories

The text is derived from several Etext editions of Project Gutenberg.
It was tokenised, part-of-speech tagged and lemmatised with Helmut
Schmid's TreeTagger, and chunk-parsed with the Gramotron PCFG for
English developed at the IMS.

REFERENCES:
Project Gutenberg
	http://www.gutenberg.net/
TreeTagger
	http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger/DecisionTreeTagger.html
Gramotron PCFG
	http://www.ims.uni-stuttgart.de/projekte/gramotron/SOFTWARE/LoPar-en.html

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DISCLAIMER:
 
THIS CORPUS IS PROVIDED TO YOU "AS-IS". NO WARRANTIES OF ANY KIND,
EXPRESS OR IMPLIED, ARE MADE TO YOU AS TO THE CORPUS OR ANY MEDIUM IT
MAY BE ON, INCLUDING BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY
OR FITNESS FOR A PARTICULAR PURPOSE.
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INSTALLATION NOTES:

This demonstration corpus is intended for use with the CQP Tutorial.
You can access the corpus simply by running CQP in the current
directory with the following options:

	cqp -e -r registry

If you want to install the corpus permanently, copy the file
<registry/dickens> to the global registry directory, and insert the
correct absolute path to the data/ subdirectory in the HOME and INFO
entries.



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DOCUMENT STRUCTURE:

<file name="[filename of source file]">
<novel title="[title of the novel]">

<titlepage>

<title len="[no. of words]"> TITLE - AUTHOR </title>

TABLE OF CONTENTS / PREFACE / ETC. 

</titlepage>

[ <book num="[number of book]"> <title len="[no. of words]"> ... </title> ]

<chapter num="[number of chapter]" title="[title of chapter]">
<title len="[no. of words]"> ... </title>
<p len="[no. of words]"> 
  <s len="[no. of words]"> ... </s> <s len="[no. of words]"> ... </s> ... 
</p>
...
</chapter>

<chapter num="[number of chapter]" title="[title of chapter]">
<title len="[no. of words]"> ... </title>
<p len="[no. of words]"> 
  <s len="[no. of words]"> ... </s> <s len="[no. of words]"> ... </s> ... 
</p>
...
</chapter>

...

[ </book> ]

</novel>
</file>


SYNTACTIC ANNOTATIONS:

In sentences consisting of up to 42 words, noun and prepositional
phrases identified with the Gramotron PCFG are annotated as <np> and
<pp> elements:

<s> 
  ... 
  <pp h="[head (preposition)]" len="[no. of words]">
  ...
  <np h="[head noun]" len="[no. of words]">
  ...
  </np>
  </pp>
  ...
</s>

Embedded NPs and PPs are represented up to a depth of two nested
phrases (more deeply embedded phrases were dropped). For access with
CQP, the nested elements are renamed to <np1>/<pp1> or <np2>/<pp2>,
depending on the level of embedding.

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