@inproceedings{jager-2022-bayesian,
    title = "{B}ayesian Phylogenetic Cognate Prediction",
    author = {J{\"a}ger, Gerhard},
    editor = "Vylomova, Ekaterina  and
      Ponti, Edoardo  and
      Cotterell, Ryan",
    booktitle = "Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP",
    month = jul,
    year = "2022",
    address = "Seattle, Washington",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.sigtyp-1.8/",
    doi = "10.18653/v1/2022.sigtyp-1.8",
    pages = "63--69",
    abstract = {In J{\"a}ger (2019) a computational framework was defined to start from parallel word lists of related languages and infer the corresponding vocabulary of the shared proto-language. The SIGTYP 2022 Shared Task is closely related. The main difference is that what is to be reconstructed is not the proto-form but an unknown word from an extant language. The system described here is a re-implementation of the tools used in the mentioned paper, adapted to the current task.}
}