20.2753, Diss: Syntax/Text/Corpus Ling: Wu: 'Factors Affecting Relative...'

linguist at LINGUISTLIST.ORG linguist at LINGUISTLIST.ORG
Wed Aug 12 14:08:37 UTC 2009


LINGUIST List: Vol-20-2753. Wed Aug 12 2009. ISSN: 1068 - 4875.

Subject: 20.2753, Diss: Syntax/Text/Corpus Ling: Wu: 'Factors Affecting Relative...'

Moderators: Anthony Aristar, Eastern Michigan U <aristar at linguistlist.org>
            Helen Aristar-Dry, Eastern Michigan U <hdry at linguistlist.org>
 
Reviews: Randall Eggert, U of Utah  
       <reviews at linguistlist.org> 

Homepage: http://linguistlist.org/

The LINGUIST List is funded by Eastern Michigan University, 
and donations from subscribers and publishers.

Editor for this issue: Di Wdzenczny <di at linguistlist.org>
================================================================  

To post to LINGUIST, use our convenient web form at
http://linguistlist.org/LL/posttolinguist.html.

===========================Directory==============================  

1)
Date: 12-Aug-2009
From: Fuyun Wu < flyyunyun at gmail.com >
Subject: Factors Affecting Relative Clause Processing in Mandarin
 

	
-------------------------Message 1 ---------------------------------- 
Date: Wed, 12 Aug 2009 10:04:48
From: Fuyun Wu [flyyunyun at gmail.com]
Subject: Factors Affecting Relative Clause Processing in Mandarin

E-mail this message to a friend:
http://linguistlist.org/issues/emailmessage/verification.cfm?iss=20-2753.html&submissionid=226729&topicid=14&msgnumber=1
  


Institution: University of Southern California 
Program: Department of Linguistics 
Dissertation Status: Completed 
Degree Date: 2009 

Author: Fuyun Wu

Dissertation Title: Factors Affecting Relative Clause Processing in Mandarin 

Linguistic Field(s): Syntax
                     Text/Corpus Linguistics

Subject Language(s): Chinese, Mandarin (cmn)


Dissertation Director(s):
Elaine Andersen
Elsi Kaiser
Bosco Tjan
Audrey Li
Andrew Simpson

Dissertation Abstract:

Current models of sentence processing make contrasting predictions
regarding the processing of head-final relative clauses (RCs) in Chinese,
but existing research has found mixed results. It is not yet clear (i)
whether subject-extracted RCs are easier to process than object-extracted
RCs; and (ii) whether classifiers in a dislocated position before the RC
can facilitate processing. This dissertation investigates how extraction
site, animacy configuration, and classifier positioning guide real-time
parsing of Chinese RCs. Assuming a correlation between frequency of
occurrence and ease of processing, I analyzed the frequency pattern of
these factors in the Chinese Treebank 5.0 corpus, then formulated and
experimentally tested hypotheses to account for the patterns observed.
 
Chapter 1 and 2 introduce the issues and review the relevant literature.
Chapter 3 presents a corpus analysis, focusing on extraction type
(subject-extracted vs. object-extracted) and animacy of the head and
embedded nouns. The results show that subject-extracted RCs are more
frequent than object-extracted RCs and suggest three Animacy Preference
Constraints (APCs): (i) head nouns that are RC subjects tend to be animate;
(ii) head nouns that are RC objects tend to be inanimate; (iii) in both
cases, the animacy of the head and embedded nouns tend to contrast. 

Chapter 4 presents three self-paced reading experiments to test whether the
hypothesized APCs influence ease of RC parsing. The results show that
animacy configurations modulate the processing load induced by Chinese RCs:
subject-extracted RCs are easier to process than object-extracted RCs when
the animacy configuration is inversely contrastive (i.e., RC subject =
inanimate, RC object = animate).  

Chapter 5 focuses on classifiers as possible cues for upcoming RCs. The
corpus reveals an asymmetrical pattern of classifier distribution in
subject-extracted and object-extracted RCs. I propose two processing
principles related to anticipatory processing and lexical access. These
principles are supported by one eye-tracking and two reading-time
experiments. Results suggest that pre-RC classifiers help the human parsing
system identify head-final RC structures efficiently. 

I consider the findings in light of four major theoretical accounts, and
suggest that the parsing of Chinese RCs best fits the probabilistic,
expectation-based constraint-satisfaction model. 




-----------------------------------------------------------
LINGUIST List: Vol-20-2753	

	



More information about the LINGUIST mailing list