Using Kohonen maps of Chinese morphological families to visualize the interplay of morphology and semantics in Chinese

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2 Scopus citations

Abstract

A morphological family in Chinese is the set of compound words embedding a common morpheme. Self-organizing maps (SOM) of Chinese morphological families are built. Computation of the unified-distance matrices for the SOMs allows us to perform a semantic clustering of the members of the morphological families. Such a semantic clustering shed light on the interplay between morphology and semantics in Chinese. Then, we studied how the word lists used in a lexical decision task (LDT) [1] are mapped onto the clusters of the SOMs. We showed that such a mapping is helpful to predict whether in a LDT repetitive processing of members of a morphological family would elicit a satiation - habituation - of both morphological and semantic units of the shared morpheme. In their LDT experiment, [1] found evidence for morphological satiation but not for semantic satiation. Conclusions drawn from our computational experimentations and calculations are concordant with [1] behavioral experimental results. We finally showed that our work could be helpful to linguists to prepare adequate word lists for the behavioral study of Chinese morphological families.

Original languageEnglish
Pages240-251
Number of pages12
StatePublished - 2011
Event23rd Conference on Computational Linguistics and Speech Processing, ROCLING 2011 - Taipei, Taiwan
Duration: 8 Sep 20119 Sep 2011

Conference

Conference23rd Conference on Computational Linguistics and Speech Processing, ROCLING 2011
Country/TerritoryTaiwan
CityTaipei
Period8/09/119/09/11

Keywords

  • Computational morphology
  • Self-organizing maps
  • Semantics

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