1 |
Bangime: Secret Language, Language Isolate, or Language Island?
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-01867003 ; 2018 (2018)
|
|
BASE
|
|
Show details
|
|
2 |
Sequence Comparison in Computational Historical Linguistics Phonetic Alignments and Cognate Detection with LingPy 2.6
|
|
|
|
In: ISSN: 2058-458X ; Journal of Language Evolution ; https://hal.archives-ouvertes.fr/hal-01799294 ; Journal of Language Evolution, Oxford University Press, In press (2018)
|
|
BASE
|
|
Show details
|
|
3 |
More on Network Approaches in Historical Chinese Phonology (音韻學)
|
|
|
|
In: The 2nd Li Fang-Kuei Young Scholars Symposium ; https://hal.archives-ouvertes.fr/hal-01706927 ; The 2nd Li Fang-Kuei Young Scholars Symposium, Li Fank-Kuei Society of Chinese Linguistics, Jul 2018, Taipei, Taiwan. pp.157-174 ; http://www.lfksociety.org/s_organization.htm (2018)
|
|
BASE
|
|
Show details
|
|
4 |
Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics? ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Towards a history of concept list compilation in historical linguistics. History and Philosophy of the Language Sciences ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Cross-Linguistic Data Formats, advancing data sharing and re-use in comparative linguistics ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Bangime: Secret Language, Language Isolate, or Language Island?
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-01867003 ; 2018 (2018)
|
|
BASE
|
|
Show details
|
|
8 |
Source Code Accompanying The Paper "More On Network Approaches In Historical Chinese Phonology (音韻學)" ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Source Code Accompanying The Paper "More On Network Approaches In Historical Chinese Phonology (音韻學)" ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
cldf-datasets/normansinitic: Structural data for the paper by Norman (2013) on Chinese dialect classification ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Using ancestral state reconstruction methods for onomasiological reconstruction in multilingual word lists ...
|
|
|
|
Abstract:
Current efforts in computational historical linguistics are predominantly concerned with phylogenetic inference. Methods for ancestral state reconstruction have only been applied sporadically. In contrast to phylogenetic algorithms, automatic reconstruction methods presuppose phylogenetic information in order to explain what has evolved when and where. Here we report a pilot study exploring how well automatic methods for ancestral state reconstruction perform in the task of onomasiological reconstruction in multilingual word lists, where algorithms are used to infer how the words evolved along a given phylogeny, and reconstruct which cognate classes were used to express a given meaning in the ancestral languages. Comparing three different methods, Maximum Parsimony, Minimal Lateral Networks, and Maximum Likeli- hood on three different test sets (Indo-European, Austronesian, Chinese) using binary and multi-state coding of the data as well as single and sampled phylogenies, we find that Maximum Likelihood ...
|
|
URL: https://hcommons.org/deposits/item/hc:23507/ https://dx.doi.org/10.17613/bg3w-3n98
|
|
BASE
|
|
Hide details
|
|
16 |
Lingpy/Sinopy: Sinopy: Python Library For Quantitative Task In Chinese Historical Linguistics ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
LingPy. A Python library for quantitative tasks in historical linguistics. Version 2.6.4 ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
cldf-datasets/szetosinitic: Chinese Structure Dataset from Szeto et al.'s (2018) paper in CLDF-Format ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|