Adpositional Supersenses for Mandarin Chinese

12/06/2018
by   YIlun Zhu, et al.
0

This study adapts Semantic Network of Adposition and Case Supersenses (SNACS) annotation to Mandarin Chinese and demonstrates that the same supersense categories are appropriate for Chinese adposition semantics. We annotated 15 chapters of The Little Prince, with high interannotator agreement. The parallel corpus gives insight into differences in construal between the two languages' adpositions, namely a number of construals that are frequent in Chinese but rare or unattested in the English corpus. The annotated corpus can further support automatic disambiguation of adpositions in Chinese, and the common inventory of supersenses between the two languages can potentially serve cross-linguistic tasks such as machine translation.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/18/2020

A Corpus of Adpositional Supersenses for Mandarin Chinese

Adpositions are frequent markers of semantic relations, but they are hig...
research
03/03/2019

Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus

Machine learning has shown promise for automatic detection of Alzheimer'...
research
02/22/2017

Improving Chinese SRL with Heterogeneous Annotations

Previous studies on Chinese semantic role labeling (SRL) have concentrat...
research
05/18/2020

Corpus of Chinese Dynastic Histories: Gender Analysis over Two Millennia

Chinese dynastic histories form a large continuous linguistic space of a...
research
03/23/2021

Annotation of Chinese Predicate Heads and Relevant Elements

A predicate head is a verbal expression that plays a role as the structu...
research
08/02/2021

The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms

The RareDis corpus contains more than 5,000 rare diseases and almost 6,0...
research
03/20/2015

On measuring linguistic intelligence

This work addresses the problem of measuring how many languages a person...

Please sign up or login with your details

Forgot password? Click here to reset