Cog
Cog is a tool for comparing speech varieties using lexicostatistics and comparative linguistics techniques, to determine the linguistic relationship between them.
Additional Description
As researchers collect word lists from different speech communities, Cog can be used to automate much of the process of comparing these word lists.
It is intended to be used iteratively: run a comparison, analyze the results, refine the process, run the comparison again, and so on.
Cog allows you to quickly produce results by automating many of the steps of the word list comparison process:
- IPA-based segmentation: automatically splits words in to segments
- Syllabification: automatically marks syllables
- Stem identification: identifies prefixes and suffixes so that they can be ignored during comparison
- Word alignment: aligns segments between word pairs
- Sound correspondence identification: automatically identifies sound correspondences and the environments in which they occur
- Cognate identification: provides various methods for identifying cognates
- Lexical/phonetic similarity: calculates lexical/phonetic similarity for multiple language varieties
Cog allows you to visualize your results from many different perspectives. Cog will automatically generate the following types of visual representations:
- Radial trees
- Dendrograms
- Network graphs
- Similarity matrices
- Geographical maps