CLLD Concepticon 2.5.0

List, Johann‐Mattis; Rzymski, Christoph; Greenhill, Simon J.; Schweikhard, Nathanael E.; Pianykh, Kristina; Tjuka, Annika; Hundt, Carolin; Forkel, Robert

doi:10.5281/zenodo.4911605

Cited by 7 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to guarantee that we can compare translational equivalents for the lexemes in our sample, we mapped the French and English elicitation glosses in the original collections to the concept sets provided by the Concepticon project ( https://concepticon.clld.org , List et al ., 2021b , Version 2.5). This procedure can be done quickly, because the Concepticon project now offers a variety of tools, including an automated mapping procedure for full concept lists, which can then be quickly manually refined, and a convenient lookup-tool for individual elicitation glosses in different languages ( https://digling.org/calc/concepticon , see List et al , 2018 ).…”

Section: Methodsmentioning

confidence: 99%

First steps towards the detection of contact layers in Bangime: a multi-disciplinary, computer-assisted approach

Hantgan¹,

Babiker²,

List³

2022

Open Res Europe

View full text Add to dashboard Cite

Bangime is a language isolate, which has not been proven to be genealogically related to any other language family, spoken in Central-Eastern Mali. Its speakers, the Bangande, claim affiliation with the Dogon languages and speakers that surround them throughout a cliff range known as the Bandiagara Escarpment. However, recent genetic research has shown that the Bangande are genetically distant from the Dogon and other groups. Furthermore, the Bangande people represent a genetic isolate. Despite the geographic isolation of the Bangande people, evidence of language contact is apparent in the Bangime language. We find a plethora of shared vocabulary with neighboring Atlantic, Dogon, Mande, and Songhai language groups. To address the problem of when and whence this vocabulary emerged in the language, we use a computer-assisted, multidisciplinary approach to investigate layers of contact and inheritance in Bangime. We start from an automated comparison of lexical data from languages belonging to different language families in order to obtain a first account on potential loanword candidates in our sample. In a second step, we use specific interfaces to refine and correct the computational findings. The revised sample is then investigated quantitatively and qualitatively by focusing on vocabularies shared exclusively between specific languages. We couch our results within archeological and historical research from Central-Eastern Mali more generally and propose a scenario in which the Bangande formed part of the expansive Mali Empire that encompassed most of West Africa from the 13th to the 16th centuries. We consider our methods to represent a novel approach to the investigation of a language and population isolate from multiple perspectives using innovative computer-assisted technologies.

show abstract

Section: Methodsmentioning

confidence: 99%

First steps towards the detection of contact layers in Bangime: a multi-disciplinary, computer-assisted approach

Hantgan¹,

Babiker²,

List³

2022

Open Res Europe

View full text Add to dashboard Cite

show abstract

“…Attestation also depends on the practices of researchers, who may be following not only their own judgments but also conventions that differ between language groups and geographical areas. For instance, the Concepticon compilation of concept lists used for lexical elicitation [50] includes more than 100 lists that were designed for specific areas. Attestation can be formalized as a special case of frequency in which the corpus consists of all the items used by the researcher, and the estimated frequency of an item takes the value 1 if the given item occurs in this corpus, and the value 0 otherwise.…”

Section: Attestationmentioning

confidence: 99%

Cross-linguistic conditions on word length

Wichmann

Holman

2023

PLoS ONE

View full text Add to dashboard Cite

Based on a dataset representing close to ¾ of the world’s languages we investigate differences among languages and between items on the Swadesh list with regard to mean word length from a linguistic typological point of view. Mapping the world-wide distribution of word length shows convergence at a continent-wide level, a Pacific Rim signature, and a tendency for large word length averages to be a recessive trait. The amount of data, which is unparalleled in previous, related studies, allows us to provide more solid estimates and accounts for the interrelationships between word length, phoneme segment inventory size, and population size than was previously possible. Word length differences between items exhibit robust, universal tendencies, which are discussed in relation to other quantities, including stability, synonymy, and attestation.

show abstract

Automated identification of borrowings in multilingual wordlists

List

Forkel

2021

Open Res Europe

Self Cite

View full text Add to dashboard Cite

Although lexical borrowing is an important aspect of language evolution, there have been few attempts to automate the identification of borrowings in lexical datasets. Moreover, none of the solutions which have been proposed so far identify borrowings across multiple languages. This study proposes a new method for the task and tests it on a newly compiled large comparative dataset of 48 South-East Asian languages. The method yields very promising results, while it is conceptually straightforward and easy to apply. This makes the approach a perfect candidate for computer-assisted exploratory studies on lexical borrowing in contact areas.

show abstract

CLLD Concepticon 2.5.0

Cited by 7 publications

References 0 publications

First steps towards the detection of contact layers in Bangime: a multi-disciplinary, computer-assisted approach

First steps towards the detection of contact layers in Bangime: a multi-disciplinary, computer-assisted approach

Cross-linguistic conditions on word length

Automated identification of borrowings in multilingual wordlists

Contact Info

Product

Resources

About