Abstract

Improved methods in automatic cognate detection have recently been used by historical linguists to help determine the subgrouping of a clade of languages or dialects, capitalizing on the efficiency of computers when handling substantial amounts of data. In this paper, 16 Palaung dialects are examined using various methods of automatic cognate detection. Partial (List, 2016) and whole cognate detection are used together with Lexstat and Sound Class Alignment to generate a phylogenetic tree of these dialects. The results of these methods are compared to the results using cognate detection decided by human experts (Deepadung et al., 2015). These results are substantially similar, suggesting that automatic cognate and phylogeny detection using algorithms is a viable complement to historical linguistic research. Accompanying this paper is a tutorial for the automated cognate detection and phylogeny procedure that was used. By following the steps, users can create results based on segmenting the morphemes of Palaung dialects differently.

Full Text

Published Version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.