The Effects of Semantic Role Predictability on the Production of Overt Pronouns in Spanish

2022 ◽  
Author(s):  
Ana M. Medina Fetterman ◽  
Natasha N. Vazquez ◽  
Jennifer E. Arnold
Keyword(s):  
Semantic Role ◽  
Overt Pronouns

AGENT AND EXPERIENCER IN PUDARNYA PESONA CLEOPATRA NOVEL BY HABIBURRAHMAN EL SHIRAZY: A STUDY OF SEMANTIC ROLE

CALL ◽  
2020 ◽  
Vol 2 (1) ◽  
Author(s):  
R. Myrna Nur Sakinah ◽  
Khaerunnisa Siti Latifah ◽  
Jenny Rahmi Nuraeni
Keyword(s):  
Qualitative Research ◽  
Semantic Role ◽  
The Novel ◽  
Data Source ◽  
Participant Roles

This research purposes at describing the roles of semantic study precisely the roles of agent and experiencer in Pudarnya Pesona Cleopatra novel written by Habiburrahman El Shirazy. The research conducted by the writer is qualitative research. The data of this study are agent and experiencer roles that the data source is taken from Pudarnya Pesona Cleopatra novel written by Habiburrahman El Shirazy published in 2003. The method that is used by the writer to collect the data is documentation with the steps: (1) figure out the sentences that contain agent and experiencer in that novel, (2) classify the types of sentences by investigating the novel. In analyzing data, the writer used Saeed’s theory of participant roles for the major theory. The result of this study shows that there are seventeen patterns that are classified into two roles. They are ten sentences of the agent and seven sentences of the experiencer.Keywords: Semantic, Participant Roles, Agent, Experiencer 

Chinese Semantic Role Labeling Based on Feature Combination

2011 ◽  
Vol 22 (2) ◽  
pp. 222-232 ◽  
Author(s):  
Shi-Qi LI ◽  
Tie-Jun ZHAO ◽  
Han-Jing LI ◽  
Peng-Yuan LIU ◽  
Shui LIU
Keyword(s):  
Semantic Role ◽  
Feature Combination ◽  
Semantic Role Labeling

scholarly journals ONLINE PRONOUN RESOLUTION IN L2 DISCOURSE: L1 Influence and General Learner Effects

2008 ◽  
Vol 30 (3) ◽  
pp. 333-357 ◽  
Author(s):  
Leah Roberts ◽  
Marianne Gullberg ◽  
Peter Indefrey
Keyword(s):  
First Language ◽  
Pronoun Resolution ◽  
Subject Pronouns ◽  
Online Processing ◽  
L2 Processing ◽  
Overt Pronouns ◽  
L2 Learners ◽  
L1 Influence ◽  
Final Interpretation ◽  
Subject Pronoun

This study investigates whether advanced second language (L2) learners of a nonnull subject language (Dutch) are influenced by their null subject first language (L1) (Turkish) in their offline and online resolution of subject pronouns in L2 discourse. To tease apart potential L1 effects from possible general L2 processing effects, we also tested a group of German L2 learners of Dutch who were predicted to perform like the native Dutch speakers. The two L2 groups differed in their offline interpretations of subject pronouns. The Turkish L2 learners exhibited a L1 influence, because approximately half the time they interpreted Dutch subject pronouns as they would overt pronouns in Turkish, whereas the German L2 learners performed like the Dutch controls, interpreting pronouns as coreferential with the current discourse topic. This L1 effect was not in evidence in eye-tracking data, however. Instead, the L2 learners patterned together, showing an online processing disadvantage when two potential antecedents for the pronoun were grammatically available in the discourse. This processing disadvantage was in evidence irrespective of the properties of the learners' L1 or their final interpretation of the pronoun. Therefore, the results of this study indicate both an effect of the L1 on the L2 in offline resolution and a general L2 processing effect in online subject pronoun resolution.

scholarly journals Repeated names, overt pronouns, and null pronouns in Spanish

2011 ◽  
Vol 26 (3) ◽  
pp. 437-454 ◽  
Author(s):  
Carlos Gelormini-Lezama ◽  
Amit Almor
Keyword(s):  
Null Pronouns ◽  
Overt Pronouns

scholarly journals The Proposition Bank: An Annotated Corpus of Semantic Roles

2005 ◽  
Vol 31 (1) ◽  
pp. 71-106 ◽  
Author(s):  
Martha Palmer ◽  
Daniel Gildea ◽  
Paul Kingsbury
Keyword(s):  
Automatic System ◽  
Semantic Representation ◽  
Higher Order ◽  
Practical Approach ◽  
Semantic Role ◽  
Syntactic Parsing ◽  
Semantic Roles ◽  
Syntactic Structures ◽  
Annotation Process ◽  
Types Of Information

The Proposition Bank project takes a practical approach to semantic representation, adding a layer of predicate-argument information, or semantic role labels, to the syntactic structures of the Penn Treebank. The resulting resource can be thought of as shallow, in that it does not represent coreference, quantification, and many other higher-order phenomena, but also broad, in that it covers every instance of every verb in the corpus and allows representative statistics to be calculated. We discuss the criteria used to define the sets of semantic roles used in the annotation process and to analyze the frequency of syntactic/semantic alternations in the corpus. We describe an automatic system for semantic role tagging trained on the corpus and discuss the effect on its performance of various types of information, including a comparison of full syntactic parsing with a flat representation and the contribution of the empty “trace” categories of the treebank.

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