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 language | English |
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Pages | 240-251 |
Number of pages | 12 |
State | Published - 2011 |
Event | 23rd Conference on Computational Linguistics and Speech Processing, ROCLING 2011 - Taipei, Taiwan Duration: 8 Sep 2011 → 9 Sep 2011 |
Conference
Conference | 23rd Conference on Computational Linguistics and Speech Processing, ROCLING 2011 |
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Country/Territory | Taiwan |
City | Taipei |
Period | 8/09/11 → 9/09/11 |
Keywords
- Computational morphology
- Self-organizing maps
- Semantics