Sources of convergence in indigenous languages: Lexical variation in Yucatec Maya. [PDF]
PLoS One, 2022 Blaha Pfeiler B, Skopeteas S.
europepmc +1 more source
Past Meets Present: Creating Historical Analogy with Large Language Models [PDF]
arXivHistorical analogies, which compare known past events with contemporary but unfamiliar events, are important abilities that help people make decisions and understand the world. However, research in applied history suggests that people have difficulty finding appropriate analogies. And previous studies in the AI community have also overlooked historical
arxiv
Linking Linguistic and Geographic Distance in Four Semantic Domains: Computational Geo-Analyses of Internal and External Factors in a Dialect Continuum. [PDF]
Front Artif Intell, 2021 Huisman JLA, Franco K, van Hout R.
europepmc +1 more source
Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models [PDF]
arXivThis paper introduces foundational resources and models for natural language processing (NLP) of historical Turkish, a domain that has remained underexplored in computational linguistics. We present the first named entity recognition (NER) dataset, HisTR and the first Universal Dependencies treebank, OTA-BOUN for a historical form of the Turkish ...
arxiv
The vocal tract as a time machine: inferences about past speech and language from the anatomy of the speech organs. [PDF]
Philos Trans R Soc Lond B Biol Sci, 2021 Dediu D +4 more
europepmc +1 more source
South Arabian and Yemeni dialects [PDF]
, 2011 It has traditionally been assumed that with the Islamic conquests Arabic overwhelmed the original ancient languages of the Peninsula, leaving the language situation in the south-western Arabian Peninsula as one in which dialects of Arabic are tinged, to ...
Watson, JCE
core
Using Twitter to collect a multi-dialectal corpus of Albanian using advanced geotagging and dialect modeling. [PDF]
PLoS One, 2023 Canhasi E, Shijaku R.
europepmc +1 more source
Language Models reach higher Agreement than Humans in Historical Interpretation [PDF]
arXivThis paper compares historical annotations by humans and Large Language Models. The findings reveal that both exhibit some cultural bias, but Large Language Models achieve a higher consensus on the interpretation of historical facts from short texts. While humans tend to disagree on the basis of their personal biases, Large Models disagree when they ...
arxiv
Cardiffians' perceptions of English in the UK. [PDF]
J Linguist Geogr, 2020 Evans BE, Dunbar M, Chartier N.
europepmc +1 more source