Corpus and Sub-sets
A corpus is a collection of one or more texts
selected for analysis.
Each corpus subset is
defined by means of a category of a
makes it possible to explore and to analyse the
relationships between the analysis units of the whole corpus or its subsets.
Some corpus examples:
- a single text or document concerning any subject;
- a set of articles taken from the press, concerning the
- one or more interviews carried out inside the same
- a set of answers to an open-ended question;
- one or more focus group transcripts.
Some subset examples:
- one or more chapters of a book;
- one or more newspaper articles published in the same
- one or more interviews with the same people
- a subset of answers to an open-ended
N.B.: Further corpus subsets are the "thematic clusters" of documents or
elementary contexts obtained by using the corresponding T-LAB
In the case of a corpus made up of more than one text, in
order to make it a set correctly
analysable, it is required that all of its parts have two
features that make them comparable:
a) a thematic and/or contextual homogeneity of their
b) a balanced relationship between their dimensions, both
in terms of occurrences and in terms of Kbytes.
logic, the corpus is a database set up
in records and fields. More precisely, records are made up of
recorded entities (texts, text segments, words) and fields are made
up of labels used to classify the different entities (text authors,
reference contexts, word types, etc.).
See Corpus Preparation.