Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks (EMNLP2017)
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Updated
Feb 1, 2018 - Python
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks (EMNLP2017)
Clustering continental West Germanic language/dialect varieties based on historical sound correspondences. Bachelor's thesis.
Map of South Asian language resources, and areal features.
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R Shiny code for the 'Variatiounsatlas vum Lëtzebuergeschen'
For a human-centered data science assignment, I analyzed how Google's Perspective API tool detects and categorizes Black language data, also known as AAVE (African-American Vernacular English), from Twitter.
Recognizing groups among tatar language dialects
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