Abstract
Building on established applications of methods from bioinformatics to historical linguistics, we investigate the potential of different ancestral state reconstruction (ASR) methods for the task of loanword detection. Based on a very simple criterion for deriving loanword judgments from reconstructed ancestral states, we compare the performance of two state-ofthe-art approaches to ASR against a very simple thresholdbased, more linguistically motivated reconstruction method. We evaluate on the Indo-European cognacy judgments encoded in the IELex database. While overall performance is very low due to the properties of the dataset, there are marked differences in precision between the three methods, demonstrating that the development of specialized reconstruction methods for computational historical linguistics is worth pursuing.
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