SemTransCNC

Item Name: SemTransCNC
Author(s): Shichang Wang, Chu-Ren Huang, Yao Yao, Angel Chan
LDC Catalog No.: LDC2020T12
ISBN: 1-58563-931-1
ISLRN: 835-247-023-332-5
Release Date: June 22, 2020
Member Year(s): 2020
DCMI Type(s): Text
Data Source(s): web collection, newswire, essays, journal articles, non-fiction, fiction, microphone speech, journal entries, meeting speech, microphone conversation, correspondence, transcribed speech, dictionaries
Application(s): semantic role labelling
Language(s): Mandarin Chinese
Language ID(s): cmn
License(s): SemTransCNC Agreement
Online Documentation: LDC2020T12 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Wang, Shichang, et al. SemTransCNC LDC2020T12. Web Download. Philadelphia: Linguistic Data Consortium, 2020.

Introduction

SemTransCNC was developed by The Hong Kong Polytechnic University. It is comprised of a semantic transparency dataset of Chinese nominal compounds built using a series of crowd-based experiments.

Nominal compounds were selected from the Sinica Corpus and a modern Chinese lexicon. Crowd workers answered questionnaires that included demographic information and questions about the Chinese language. For assessing overall semantic transparency (OST) of selected compounds, they answered the question: "How is the sum of the meanings of A and B similar to the meaning of AB?" For assessing constituent semantic transparency (CST), they were asked to describe the similarity of A alone to its meaning in AB and the meaning of B alone to its meaning in AB.

Data

SemTransCNC consists of OST and CST data for 1,176 dimorphemic Chinese nominal compounds, which consist of free morphemes and have mid-range frequencies.

The text data is presented as a UTF-8 encoded comma separated text file.

Samples

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Updates

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