Nathan Hill


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A New Framework for Fast Automated Phonological Reconstruction Using Trimmed Alignments and Sound Correspondence Patterns
Johann-Mattis List | Robert Forkel | Nathan Hill
Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change

Computational approaches in historical linguistics have been increasingly applied during the past decade and many new methods that implement parts of the traditional comparative method have been proposed. Despite these increased efforts, there are not many easy-to-use and fast approaches for the task of phonological reconstruction. Here we present a new framework that combines state-of-the-art techniques for automated sequence comparison with novel techniques for phonetic alignment analysis and sound correspondence pattern detection to allow for the supervised reconstruction of word forms in ancestral languages. We test the method on a new dataset covering six groups from three different language families. The results show that our method yields promising results while at the same time being not only fast but also easy to apply and expand.


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User-friendly Automatic Transcription of Low-resource Languages: Plugging ESPnet into Elpis
Oliver Adams | Benjamin Galliot | Guillaume Wisniewski | Nicholas Lambourne | Ben Foley | Rahasya Sanders-Dwyer | Janet Wiles | Alexis Michaud | Séverine Guillaume | Laurent Besacier | Christopher Cox | Katya Aplonova | Guillaume Jacques | Nathan Hill
Proceedings of the 4th Workshop on the Use of Computational Methods in the Study of Endangered Languages Volume 1 (Papers)