Semantic Reversal Errors in Sentence Comprehension Zachary Ekves SREBCS, University of Pittsburgh Mentors: Julius Fridriksson, Paul Fillmore August 1, 2013 Outline Semantic reversal Approaches to agrammatism Language comprehension background Methods Results/Discussion Semantic Reversal “The boy paints the girl.” Arguments: the boy (subject/agent) the girl (object/theme/patient) Canonical vs non-canonical Agrammatism Overview Looking at chronic stroke patients Lesion data Areas required for a function Trace Deletion Hypothesis Traces are deleted from representations Grodzinsky (1995) No traces leads to agent first processing Normal syntactic processing for second NP But, no preference is shown for double agent representations (Beretta and Munn, 1998) Resource Based Theories Comprehension difficulties arise from a deficit of a resource, perhaps working memory (Caplan & Waters, 1999) Syntactic features of specific sentence types are not the cause of error All comprehension is affected to different extents Eyetracking Research Representations are possibly the same as normal populations (Dickey & Thompson, 2009) Errors in comprehension arise from lexical retrieval/processing (Meyer, Mack, & Thompson, 2012) Temporoparietal Area Associated with thematic role assignment errors (Thothathiri, Kimberg, & Schwartz, 2012) Thematic semantics (Mirman & Graziano, 2012) Angular Gyrus: semantic structure recognition (Humphries, Binder, Medler, & Liebenthal, 2006) Other Posterior Regions Lexical access to verbs and verb argument knowledge, and conceptual verb argument knowledge (Den Ouden, Fix, Parrish, & Thompson, 2009; Wu, Waller, and Chatterjee, 2007) Canonical Sentence Processing (Magnusdottir et al., 2012) Retrieval of lexical and semantic information (Hickok & Poeppel, 2007) Anterior and Middle Temporal Lobe Linguistic knowledge of verb arguments (Wu, Waller, and Chatterjee, 2007) Non-canonical sentence processing (Magnusdottir et al., 2012) Activation for syntax manipulations, not semantic (Liebenthal, 2006) Participant Information 33 chronic stroke patients analyzed Mean age of 67.70 (SD = 9.74) Tested 3.93 years later, on average Behavioral Testing “It is the girl who tickles the boy.” 9 Sentence Types (1,4,8 : canonical; 2,5,9 : non-canonical) 1. Active sentences with a main verb and overt case marking “The girl paints the boy.” 2. Passive Sentences with overt case marking “The boy is painted by the girl.” 3. Truncated passive sentences with overt case marking “The boy is painted.” 4. Subject cleft sentences with overt case marking “It is the boy that paints the girl.” 5. Object cleft sentences with overt case marking “It is the girl that the boy paints.” 6. Sentences with topicalized object and a main verb “The girl, the boy paints.” 7. Sentences with topicalized object and an auxiliary verb “The girl, the boy is painting.” 8. Referential which clauses (subjects) with a main verb “Which boy paints the girl?” 9. Referential which clauses (objects) with a main verb “Which boy is the girl painting?” Taken from Magnusdottir et al. (2012) Behavioral Results Type Mean Standard Deviation Semantic Error (overall) 7.55 6.94 1 0.33 0.60 2 1.03 1.42 4 0.30 0.77 8 1.82 1.26 9 0.70 1.19 Lex Error (overall) 0.97 1.65 Neuroimaging Data VLSM False Discovery Rate of P < .05 Semantic Errors Overall 0.05 = -2.59 Lexical Errors Overall 0.05 = -3.53 Type 1: Active Type 2: Passive .05 = -3.54 .05 = -2.57 Type 4: Subject cleft sentence 0.05 = -2.9 Type 8: Referential which clauses (subjects) .05 = -2.58 Type 9: Referential which clauses (objects) .05 = -2.92 Discussion Lexical errors Indicative of verb retrieval Supports previous research Active sentence errors Thematic role assignment in simple sentences Supports and extends previous research Passive sentence errors Temporal regions: thematic role deficits/lexical deficiencies Temporal pole: syntactic integration Direct comparison between active and passive Subject cleft sentence errors Frontal association in a type without movement Referential which clause (subjects) Angular gyrus Referential which clause (objects) Not as posterior Overall Semantic Errors Temporal Pole Syntactic integration Middle Temporal Gyrus Linguistic verb argument knowledge Lexical processing More involvement with more complex syntax, in general Future Directions Temporal pole Morphosyntactic processing? (Dronkers et al., 1994) Teasing apart functions of the temporal pole and middle portions of the temporal lobe Acknowledgements Julius Fridriksson Paul Fillmore Everyone involved with data collection SREBCS
© Copyright 2026 Paperzz