AMALGUM (A Machine Annotated Lookalike of GUM)

AMALGUM 是一个机器注释的多层语料库，其设计和注释层与 GUM 相同，但要大得多（大约 4M 令牌）。该语料库的目标是缩小高质量、注释丰富但较小的数据集与通常从 Web 上抓取的较大但注释较浅的语料库之间的差距。

AMALGUM is a machine-annotated multilayer corpus with the same design and annotation layers as GUM, but significantly larger (approximately 4M tokens). This corpus aims to bridge the gap between high-quality, richly annotated but relatively small datasets and larger but shallowly annotated corpora typically scraped from the Web.

搜集汇总

背景与挑战

背景概述

AMALGUM是一个由乔治城大学于2020年发布的机器注释多层英语网络语料库，规模约为400万令牌，旨在弥补高质量小数据集与大规模浅注释语料库之间的差距，采用CC BY 4.0许可证。