Libro
Libro
is a
cross-platform text analysis program written in Python and Free
Pascal/Lazarus which
scans a whole text file (in plain text, HTML, EPUB, or ODT
formats) and
ranks all used words according to frequency, performing a
quantitative analysis of the text using Shannon-Weaver
information statistic and Zipf power law function. It counts
words, chars, spaces, and syllables. Also computes readability
indexes (Gunning Fog, Coleman-Liau, Automated Readability Index
(ARI), SMOG grade, Flesch-Kincaid grade level and Flesch
Reading Ease).
Statistics
- Zipf's
law states that
the frequency of occurence of any word
is approximately inversely proportional to its rank in the frequency
table. When Zipf's law is applicable, plotting the frequency table on a
log-log scale (i.e., log(frequency) versus log(rank order)) will
typically show a linear pattern.
- Shannon-Weaver information
statistic gives a measure of the entropy (or the average informaton
content) of the text, expressed in bits.
- Gunning
Fog, Coleman-Liau, Automated
Readability Index, SMOG,
and Flesch-Kincaid readability
tests are designed to indicate comprehension difficulty when reading
written materials.
Remarks
- Other
programs and web sites may give different numerical results for the
same text that those computed by Libro.
This occurs because they may use different formulae, but it is more
likely that they use different rules for counting sentences or
determining what is a syllable. Indeed, results for the same text may
differ in Libro itself, if computed from
source files in different formats (eg. plain text,
HTML, EPUB, ODT). However, it is not the exact results themselves which
are important, but the qualitative interpretations which may be derived
from them, on a comparative basis.
- Support
for OpenOffice/LibreOffice format (ODT) is only available in the Python
version.
- The Pascal version
only compiles under MS-Windows.
- Thanks to wp
from the Lazarus Forum for adding
improvements to the code.
Requirements
(Python version)
Requirements
(Free Pascal/Lazarus version)
Download
Source
code and
binary installaton packages are available from SourceForge
License
This
program is free
software, made
available under the GNU
General Public Licence
version 3 (GPL3)
© 2013-2023
Mauro J. Cavalcanti, Rio de Janeiro, Brazil
Sponsored
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