Published December 12, 2022
| Version v1
Other
Open
Multilanguage Semantic Relatedness Models for Verbal Fluency Tasks
Description
Semantic relatedness models in different languages for verbal fluency tasks based on the Wikipedia Corpuses in different languages. Model training was done using using the Python package Gensim version 4.0.1 with Python 3.9.5.
The trained models belong to the following publication: Hähnel et al. 2023 (DOI: 10.2196/46021)
Please cite as:
Hähnel T, Feige T, Kunze J, Epler A, Frank A, Bendig J, Schnalke N, Wolz M, Themann P, Falkenburger B
A Semantic Relatedness Model for the Automatic Cluster Analysis of Phonematic and Semantic Verbal Fluency Tasks Performed by People With Parkinson Disease: Prospective Multicenter Study
JMIR Neurotech 2023;2:e46021
doi: 10.2196/46021
Files
Files
(15.1 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:6977e1fda93a28feb59128b71f5e9490
|
79.9 MB | Download |
|
md5:3ec9e1f477568242d78329d9dba7c184
|
4.6 GB | Download |
|
md5:05be869fc9cbcd8168357d1a1aab7e14
|
86.8 MB | Download |
|
md5:3bb1e8bed159ceb446180373224babcc
|
5.2 GB | Download |
|
md5:ec9f208447e5603a3915fc354ef7f9d6
|
37.2 MB | Download |
|
md5:3ccbb1ad466c4bb6af889f2bbf9dfaa6
|
2.2 GB | Download |
|
md5:b56f69507256899916bd82ddffae1a40
|
44.9 MB | Download |
|
md5:b72b0938551e83468f2cbe1dae1cfaf5
|
2.7 GB | Download |