AMALGUM

Full Official Name: A Machine Annotated Lookalike of GUM
Submission date: Jan. 17, 2022, 9:54 a.m.

AMALGUM is a machine annotated multilayer corpus following the same design and annotation layers as GUM (The Georgetown University Multilayer Corpus), but substantially larger (around 4M tokens). The goal of this corpus is to close the gap between high quality, richly annotated, but small datasets, and the larger but shallowly annotated corpora that are often scraped from the Web.

Creator(s)
Georgetown University - Amir Zeldes
Distributor(s)
Georgetown University - Amir Zeldes
Right Holder(s)
Georgetown University - Amir Zeldes
Status : Accepted
ISLRN :
903-099-580-537-2
Version
v0.2
Source
https://github.com/gucorpling/amalgum/releases
Resource Type
Multilayer Corpus
Media Type
Text
Language(s)
English
Access Medium