Difference between revisions of "The Classical Language Toolkit"

From The Digital Classicist Wiki
Jump to navigation Jump to search
(updating description)
m (/bq)
 
(2 intermediate revisions by the same user not shown)
Line 13: Line 13:
 
From the project website (accessed 25-09-25):
 
From the project website (accessed 25-09-25):
  
:The Classical Language Toolkit (CLTK) offers natural language processing (NLP) support for the languages of Ancient, Classical, and Medieval Eurasia. Greek and Latin functionality are currently most complete. The goals of the CLTK are to:
+
<blockquote><p>The Classical Language Toolkit (CLTK) offers natural language processing (NLP) support for the languages of Ancient, Classical, and Medieval Eurasia. Greek and Latin functionality are currently most complete. The goals of the CLTK are to:</p>
 +
 
 +
<ul><li>compile analysis-friendly corpora;</li>
 +
<li>collect and generate linguistic data;</li>
 +
<li>act as a free and open platform for generating scientific research.</li></ul>
 +
</blockquote>
  
** compile analysis-friendly corpora;
 
** collect and generate linguistic data;
 
** act as a free and open platform for generating scientific research.
 
  
 
It is a Python package which in some areas extends the Python Natural Language Toolkit (NLTK).
 
It is a Python package which in some areas extends the Python Natural Language Toolkit (NLTK).
Line 25: Line 27:
 
[[category:Linguistics]]
 
[[category:Linguistics]]
 
[[category:opensource]]
 
[[category:opensource]]
 +
[[category:programming]]

Latest revision as of 15:01, 30 August 2019

Available

Authorship

Description

From the project website (accessed 25-09-25):

The Classical Language Toolkit (CLTK) offers natural language processing (NLP) support for the languages of Ancient, Classical, and Medieval Eurasia. Greek and Latin functionality are currently most complete. The goals of the CLTK are to:

  • compile analysis-friendly corpora;
  • collect and generate linguistic data;
  • act as a free and open platform for generating scientific research.


It is a Python package which in some areas extends the Python Natural Language Toolkit (NLTK).