Open Problems in Computational Historical Linguistics. [PDF]
Open Res Eur, 2023 Problems constitute the starting point of all scientific research. The essay reflects on the different kinds of problems that scientists address in their research and discusses a list of 10 problems for the field of computational ...
List JM.
europepmc +6 more sources
Word Prediction in Computational Historical Linguistics
Journal of Language Modelling, 2021 In this paper, we investigate how the prediction paradigm from machine learning and Natural Language Processing (NLP) can be put to use in computational historical linguistics. We propose word prediction as an intermediate task, where the forms of unseen
Willem Zuidema, Peter Dekker
exaly +6 more sources
A Global Lexical Database (GLED) for Computational Historical Linguistics
Journal of Open Humanities Data, 2023 This work presents a lexical database with cognate annotation and phonological alignment for over 6,500 documented language varieties. The database includes per-family and global phylogenetic resources and offers a pre-computed global tree for language ...
Tiago Tresoldi
doaj +4 more sources
Model Evaluation in Computational Historical Linguistics [PDF]
Theoretical Linguistics, 2019 This is a reply to the comments by Hammarström et al. (This volume) and List (This volume) on the target article Computational Historical Linguistics (This volume).
Gerhard Jäger
exaly +3 more sources
On Computational Historical Linguistics in the 21st Century
Theoretical Linguistics, 2019 We welcome Gerhard Jäger’s framing of Computational Historical Linguistics: its history and background, its goals and ambitions as well as the concrete implementation by Jäger himself. As Jäger explains (pp. 151–153), the comparative method can be broken
Tilo Wiklund, Harald Hammarström
exaly +3 more sources
Computational Historical Linguistics and Language Diversity in South Asia [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 South Asia is home to a plethora of languages, many of which severely lack access to new language technologies. This linguistic diversity also results in a research environment conducive to the study of comparative, contact, and historical linguistics ...
Aryaman Arora +3 more
semanticscholar +3 more sources
Sequence comparison in computational historical linguistics [PDF]
Journal of Language Evolution, 2018 With increasing amounts of digitally available data from all over the world, manual annotation of cognates in multi-lingual word lists becomes more and more time-consuming in historical linguistics.
Johann-Mattis List +4 more
semanticscholar +2 more sources
An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 We present a fully automated workflow for phylogenetic reconstruction on large datasets, consisting of two novel methods, one for fast detection of cognates and one for fast Bayesian phylogenetic inference.
Taraka Rama Kasicheyanula +1 more
semanticscholar +2 more sources
Markov Chain Monte-Carlo Phylogenetic Inference Construction in Computational Historical Linguistics [PDF]
arXiv.org, 2020 More and more languages in the world are under study nowadays, as a result, the traditional way of historical linguistics study is facing some challenges.
Tianyi Ni
semanticscholar +2 more sources
The Potential of Automatic Word Comparison for Historical Linguistics. [PDF]
PLoS ONE, 2017 The amount of data from languages spoken all over the world is rapidly increasing. Traditional manual methods in historical linguistics need to face the challenges brought by this influx of data.
Johann-Mattis List +2 more
doaj +2 more sources