https://github.com/jcgood/complexity

Code for working with WALS-APiCS complexity metrics
https://github.com/jcgood/complexity

Last synced: 3 months ago
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Code for working with WALS-APiCS complexity metrics

• Host: GitHub
• URL: https://github.com/jcgood/complexity
• Owner: jcgood
• License: unlicense
• Created: 2013-07-17T14:13:09.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2015-01-12T23:56:49.000Z (almost 10 years ago)
• Last Synced: 2024-04-19T00:31:52.097Z (7 months ago)
• Language: Python
• Size: 1.81 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• low-resource-languages - WALS-APiCS - Code for working with WALS-APiCS (Atlas of Pidgin and Creole Language Structures) complexity metrics. (FieldDB Webservices/Components/Plugins / Utilities)

README

        
WALS-APiCS complexity

==========

This repository contains code and data relevant to examining complexity of

WALS-APiCS features following proposals made in this paper:

https://benjamins.com/#catalog/journals/jpcl.27.1.01goo/ and procedures

described in this draft paper:

http://buffalo.edu/~jcgood/jcgood-ParadigmaticComplexityCreoles.pdf.

Documentation is relatively sparse since it is not clear to me how much outside

interest there will be in these materials. However, they are posted here in the

interest of transparency and replicability. Please feel free to contact Jeff

Good ([email protected]) with any questions on how to use these materials.

Please note that the database posted here is mostly based on content from the

World Atlas of Language Structures (WALS; http://wals.info) and the Atlas of

Pidgin and Creole Language Structures (APiCS; http://apics-online.info). If you

choose to reuse this data, please cite these original sources as appropriate.

Citation information can be found on the websites for each of these projects.

Brief descriptions of each file are given below

- APiCSFeatureComps.txt: Tabular data summarizing complexity values across

WALS-APiCS features.

- APiCSLangComps.txt:  Tabular data summarizing complexity values across

WALS-APiCS languages for languages with values for most features.

- APiCSLangCompVals.txt: Specific complexity values for each APiCS features

across each APiCS language.

- APiCSWALS.r: Automatically generated output for loading into R for statisical

processing.

- APiCSWALSComplexity.sql: SQL dump of database used to encode complexity

scores. This database combines data from WALS (http://wals.info) and APiCS

(http://apics-online.info), and adds new information relevant to calculating

syntagmatic and paradigmatic complexity of WALS-APiCS features. Details on the

relevant methods and theoretical assumptions can be found in a draft paper

submitted for publication that is posted here:

http://buffalo.edu/~jcgood/jcgood-ParadigmaticComplexityCreoles.pdf. This paper

also contains more detailed references. The database is designed to be used

in conjunction with calculateComplexities.py to generate the complexity

scores used in the paper linked to above.

- calculateComplexities.py: A script for generating various files and complexity

scores for the study of WALS-APiCS patterns of complexity.

- CompDocumentation.txt: Documentation of criteria employed to determine maximum

complexity across features.

- complexity.py: A set of Python methods for interacting with the database to

generate complexity figures.

- FeatComp.txt: An output of all complexity scores across all features.

- README.md: This file.

- ValDocumentation.txt: Documentation of criteria employed to determine

complexity level across each value.

- calculateComplexities.pyc: Python-generated file.

- complexity.pyc: : Python-generated file.

- LICENSE: License for material on this site.

- Various pdf files for visualizations of the data:

aParHist.pdf

featDistr.pdf

featDistrBW.pdf

featDistrPar.pdf

featDistrParBW.pdf

parDistr.pdf

parDistrBW.pdf

synDistr.pdf

synDistrBW.pdf

wParHist.pdf