Lexicon of Changes: Towards the Evaluation of Diachronic Semantic Shift in Chinese

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Recent research has brought a wind of using computational approaches to the classic topic of semantic change, aiming to tackle one of the most challenging issues in the evolution of human language. While several methods for detecting semantic change have been proposed, such studies are limited to a few languages, where evaluation datasets are available. This paper presents the first dataset for evaluating Chinese semantic change in contexts preceding and following the Reform and Opening-up, covering a 50-year period in Modern Chinese. Following the DURel framework, we collected 6,000 human judgments for the dataset. We also reported the performance of alignment-based word embedding models on this evaluation dataset, achieving high and significant correlation scores.
Original languageEnglish
Title of host publicationProceedings of the 3rd Workshop on Computational Approaches to Historical Language Change
EditorsNina Tahmasebi, Syrielle Montariol, Andrey Kutuzov, Simon Hengchen, Haim Dubossarsky, Lars Borin
PublisherAssociation for Computational Linguistics (ACL)
Pages113–118
Number of pages6
ISBN (Print)978-1-955917-42-1
DOIs
Publication statusPublished - May 2022
EventWorkshop on Computational Approaches to Historical Language Change - Dublin, Ireland
Duration: 26 May 202227 May 2022

Competition

CompetitionWorkshop on Computational Approaches to Historical Language Change
Country/TerritoryIreland
CityDublin
Period26/05/2227/05/22

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