A survey of the compatibility of laizhe with the MARVS model of event types

Tong Mu, Yu Yin Hsu (Corresponding Author)

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review


Previous studies have shown that laizhe can be compatible with some types of verbs, and that it is related to a certain concept of past tense. However, there is no consensus about the exact conditions that allow laizhe to surface in a sentence. This study argues that simply examining verbal semantics is insufficient to identifying the use and functions of laizhe, and instead investigates them from the perspective of MARVS-theory event types. This new approach establishes that predicates compatible with laizhe often express an event from a prior time point that, while recent, is still different from the time of the conversation. Thus, two fundamental attributes are needed to account for the distribution of laizhe: that is, the timing of the expression of (1) temporal gaps, and/or (2) different stage-level properties associated with the subject of a sentence.

Original languageEnglish
Title of host publicationChinese Lexical Semantics - 19th Workshop, CLSW 2018, Revised Selected Papers
EditorsQi Su, Jiun-Shiung Wu, Jia-Fei Hong
Number of pages13
ISBN (Print)9783030040147
Publication statusPublished - 1 Jan 2018
Event19th Chinese Lexical Semantics Workshop, CLSW 2018 - Minxiong, Taiwan
Duration: 26 May 201828 May 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11173 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th Chinese Lexical Semantics Workshop, CLSW 2018


  • Event states
  • Laizhe
  • MARVS theory
  • Situation aspects
  • Verb types

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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