% pubman genre = conference-report
@misc{item_3479441,
title = {{A new framework for fast automated phonological reconstruction using trimmed alignments and sound correspondence patterns}},
author = {List, Johann-Mattis and Forkel, Robert and Hill, Nathan},
language = {eng},
isbn = {978-1-955917-42-1},
doi = {10.18653/v1/2022.lchange-1.9},
publisher = {Association for Computational Linguistics (ACL)},
year = {2022},
date = {2022},
abstract = {{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{\textless}br{\textgreater}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{\textless}br{\textgreater}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.}},
booktitle = {{3rd international workshop on computational approaches to historical language change 2022 : proceedings of the workshop}},
editor = {Tahmasebi, Nina and Montariol, Syrielle and Kutozov, Andrey and Hengchen, Simon and Dubossarsky, Haim and Borin, Lars},
pages = {89--96},
}