Stealing interpretations?�Failed investigations into structural reanalysis
Prof E. Matthew Husband
25 January 2023
@ Edinburgh University
Linguistics Society
While the man hunted the deer ran into the woods.
Did the man hunt the deer?
YES NO
2
Misinterpretation in Garden-path Sentences
Christianson, et al, 2001
3
Verb Type | Structure | Sentence |
Optionally Transitive | Control | While Susan wrote the letter that was long and eloquent fell off the table. |
| Garden-path | While Susan wrote, the letter that was long and eloquent fell off the table. |
Reflexive | Control | While Anna dressed the baby that was small and cute spit up on the bed. |
| Garden-path | While Anna dressed, the baby that was small and cute spit up on the bed. |
Misinterpretation
The horse raced past the barn fell.
Paraphrase?
‘The horse raced past and the barn fell.’
Fodor & Inoue (1994)
4
Main Idea
Road Map
5
Diagnosis Model of Reanalysis
Fodor & Inoue 1994, 2000
6
Parsing Mechanisms
7
Subordinate-Main Construction
8
S
VP
S
NP
S’
NP
the man
NP
the deer
V
hunted
VP
NP
Late Closure
Early Closure
C
While
Subordinate-Main Construction
9
VP
S
NP
S’
NP
the man
NP
the deer
V
hunted
VP
S
C
While
Interpret
∃e ∃x ∃y [hunt(e) & Ag(e,x) & man(x) & Th(e,y) & deer(y)]
Diagnosis Model of Reanalysis
Fodor & Inoue 1994, 2000
10
Repair Mechanisms
11
Subordinate-Main Construction
12
VP
S
NP
S’
NP
the man
NP
the deer
V
hunted
VP
S
V
ran
C
While
Attach (Anyway)
∃e ∃x ∃y [hunt(e) & Ag(e,x) & man(x) & Th(e,y) & deer(y)]
Subordinate-Main Construction
13
S
VP
ran
S
NP
?
S’
NP
the man
V
hunted
VP
Steal
C
While
NP
the deer
∃e ∃x ∃y [hunt(e) & Ag(e,x) & man(x) & Th(e,y) & deer(y)]
Subordinate-Main Construction
14
NP
?
VP
ran
S
NP
the deer
S’
NP
the man
C
While
V
hunted
VP
Reaccess
S
∃e ∃x ∃y [hunt(e) & Ag(e,x) & man(x) & Th(e,y) & deer(y)]
Subordinate-Main Construction
15
VP
ran
S
NP
the deer
NP
the man
S
S'
C
While
VP
hunted
Interpret
∃e ∃x ∃y [hunt(e) & Ag(e,x) & man(x) & Th(e,y) & deer(y)]
∃e1 ∃x [hunt(e1) & Ag(e1,x) & man(x)]
∃e2 ∃y [run(e2) & Ag(e2,y) & deer(y)]
Interpret
Subordinate-Main Construction
Christianson, et al, 2001
16
Question | Structure | Sentence | Question |
Licensed | Control | The steak that was brown and juicy fell to the floor as Harry chewed. | Did the steak fall to the floor? |
| Garden-path | As Harry chewed the steak that was brown and juicy fell to the floor. | Did the steak fall to the floor? |
Unlicensed | Control | The steak that was brown and juicy fell to the floor as Harry chewed. | Did Harry chew the steak? |
| Garden-path | As Harry chewed the steak that was brown and juicy fell to the floor. | Did Harry chew the steak? |
Reduced Relative Clauses
17
S
NP
The horse
V
raced
VP
S
VP
NP
Op
NP
Minimal Attachment
Reduced Relative Clauses
18
S
NP
The horse
V
raced
VP
PP
past the barn
Attach
Reduced Relative Clauses
19
S
NP
The horse
V
raced
VP
P
past
V
fell
NP
the barn
PP
S
NP
?
Steal
Reduced Relative Clauses
20
S
NP
The horse
V
raced
VP
P
past
V
fell
NP
?
PP
S
NP
the barn
Reaccess
Steal
Interpret
∃e ∃x [fall(e) & Th(e,x) & barn(x)]
Reduced Relative Clauses
21
S
NP
The horse
V
raced
VP
P
past
V
fell
NP
the barn
PP
S
NP
?
∃e ∃x [fall(e) & Th(e,x) & barn(x)]
Reduced Relative Clause
22
Sources of Misinterpretation
Temporary Surface Interpretations
Temporarily Derived Interpretations
23
Studies
24
25
Press spacebar to continue
The wine spilled from the decanter was expensive.
Was the decanter expensive?
Sentence Reading Time
Question Response
and
Question Response Time
Pilot Study
26
Structure | Question | Sentence | Question |
Garden-Path | Unlicensed | The wine spilled from the decanter was expensive. | Was the decanter expensive? |
| Licensed | The wine spilled from the decanter was expensive. | Was the wine expensive? |
Control | Unlicensed | The wine that was spilled from the decanter was expensive. | Was the decanter expensive? |
| Licensed | The wine that was spilled from the decanter was expensive. | Was the wine expensive? |
Pilot: Sentence Reading Times
27
| Est | StdErr | t | p |
Structure | 0.072 | 0.088 | 0.818 | .423 |
Question | 0.064 | 0.075 | 0.857 | .406 |
Str * Que | 0.178 | 0.136 | 1.313 | .209 |
Pilot: Question Accuracy
28
| Est | StdErr | t | p |
Structure | -1.893 | 0.675 | -2.804 | .005*** |
Question | 0.595 | 0.649 | 0.917 | .359 |
Str * Que | -1.537 | 1.331 | -1.154 | .248 |
Pilot: Question Response Time
29
| Est | StdErr | t | p |
Structure | 0.137 | 0.065 | 2.128 | .051 |
Question | 0.062 | 0.065 | 0.954 | .349 |
Str * Que | 0.010 | 0.127 | 0.077 | .939 |
Summary of Pilot Study
30
Follow-up Study 1: Verb/prep transitivity
31
Transitivity | Structure | Question | Sentence | Question |
Obligatory | Garden-Path | Unlicensed | The artist painted for the family left. | Did the family leave? |
| | Licensed | The artist painted for the family left. | Did the artist leave? |
| Control | Unlicensed | The artist who was painted for the family left. | Did the family leave? |
| | Licensed | The artist who was painted for the family left. | Did the artist leave? |
Optional | Garden-Path | Unlicensed | The barrel rolled over the dam cracked. | Did the dam crack? |
| | Licensed | The barrel rolled over the dam cracked. | Did the barrel crack? |
| Control | Unlicensed | The barrel that was rolled over the dam cracked. | Did the dam crack? |
| | Licensed | The barrel that was rolled over the dam cracked. | Did the barrel crack? |
|
Follow-up 1 (VPT): Sentence Reading Times
32
| Est | StdErr | t | p |
Structure | 0.097 | 0.059 | 1.646 | .105 |
Question | -0.074 | 0.057 | -1.303 | .198 |
Transitivity | 0.060 | 0.100 | 0.604 | .552 |
Str * Que | -0.093 | 0.109 | -0.855 | .393 |
Str * Trans | -0.150 | 0.113 | -1.329 | .187 |
Que * Trans | 0.142 | 0.112 | 1.265 | .210 |
Str * Que * Trans | -0.139 | 0.218 | -0.639 | .523 |
Follow-up 1 (VPT): Question Accuracy
33
| Est | StdErr | z | p |
Structure | -1.682 | 0.315 | -5.336 | <.001*** |
Question | 0.181 | 0.314 | 0.574 | .566 |
Transitivity | 0.001 | 0.464 | 0.002 | .998 |
Str * Que | 0.267 | 0.610 | 0.438 | .662 |
Str * Trans | 1.056 | 0.617 | 1.711 | .087 |
Que * Trans | -1.001 | 0.627 | -1.598 | .110 |
Str * Que * Trans | 1.348 | 1.225 | 1.100 | .271 |
Follow-up 1 (VPT): Question Response Times
34
| Est | StdErr | t | p |
Structure | 0.110 | 0.052 | 2.120 | .041* |
Question | 0.094 | 0.050 | 1.882 | .067 |
Transitivity | -0.027 | 0.060 | -0.443 | .661 |
Str * Que | -0.112 | 0.090 | -1.237 | .216 |
Str * Trans | -0.123 | 0.090 | -1.361 | .174 |
Que * Trans | 0.001 | 0.090 | -0.009 | .993 |
Str * Que * Trans | 0.049 | 0.180 | 0.271 | .787 |
Summary of Follow-up 1 (VPT)
35
Follow-up Study 2: Semantic association
36
Structure | Question | Sentence | Question | LSA |
Garden-Path | Unlicensed | The woman offered the baby cried. | Did the woman cry? | .30 |
| Licensed | The woman offered the baby cried. | Did the baby cry? | .23 |
Control | Unlicensed | The woman that was offered the baby cried. | Did the woman cry? | .30 |
| Licensed | The woman that was offered the baby cried. | Did the baby cry? | .23 |
Garden-Path | Unlicensed | The cat stood by the path twisted around. | Did the path twist around? | .36 |
| Licensed | The cat stood by the path twisted around. | Did the cat twist around? | .07 |
Control | Unlicensed | The cat that was stood by the path twisted around. | Did the path twist around? | .36 |
| Licensed | The cat that was stood by the path twisted around. | Did the cat twist around? | .07 |
|
Follow-up 2 (LSA): Sentence Reading Times
37
| Est | StdErr | t | p |
Structure | 0.200 | 0.097 | 2.069 | .044* |
Question | 0.013 | 0.088 | 0.148 | .883 |
LSA | -0.001 | 0.003 | -0.201 | .841 |
Str * Que | -0.378 | 0.153 | -2.470 | .016* |
Str * LSA | 0.009 | 0.006 | 1.624 | .107 |
Que * LSA | 0.004 | 0.006 | 0.633 | .527 |
Str * Que * LSA | -0.025 | 0.011 | -2.210 | .029* |
Follow-up 2 (LSA): Question Accuracy
38
| Est | StdErr | z | p |
Structure | -1.956 | 0.415 | -4.713 | <.001*** |
Question | -0.457 | 0.461 | -0.993 | .321 |
LSA | 0.003 | 0.019 | 0.179 | .858 |
Str * Que | 0.889 | 0.831 | 1.070 | .285 |
Str * LSA | -0.027 | 0.032 | -0.826 | .409 |
Que * LSA | -0.016 | 0.035 | -0.445 | .656 |
Str * Que * LSA | -0.011 | 0.064 | -0.166 | .868 |
Follow-up 2 (LSA): Question Response Times
39
| Est | StdErr | t | p |
Structure | 0.276 | 0.085 | 3.240 | .002*** |
Question | 0.135 | 0.097 | 1.402 | .169 |
LSA | -0.002 | 0.004 | -0.665 | .510 |
Str * Que | -0.225 | 0.168 | -1.343 | .185 |
Str * LSA | 0.004 | 0.006 | 0.731 | .468 |
Que * LSA | -0.005 | 0.007 | -0.730 | .471 |
Str * Que * LSA | -0.011 | 0.012 | -0.991 | .326 |
Summary of Follow-up 2 (LSA)
40
Review of question accuracy
41
| Structure | Question | Str * Que |
Pilot | Yes | No | No |
Follow-up 1: Transitivity | Yes | No | No |
Follow-up 2: LSA | Yes | No | No |
What does this mean for theories of reanalysis?
42
Other avenues?
43
Some lessons
44
Many thanks to several groups of Final Honors Schools students from 2018, 2019, and 2020
Thank you!
45
46
Reduced Relative Clauses
47
S
NP
The horse
V
raced
VP
P
past
V
were
NP
the barns
PP
S
NP
?
Cue-based Retrieval
[+N]
[+pl]
Partial match
Cue-based Retrieval
Number Attraction and RRCs
48
Structure | Question | Sentence |
Garden-Path | NumMismatch | The wagon smashed into the gate were sturdy to the owner’s relief. |
| NumMatch | The wagon smashed into the gates were sturdy to the owner’s relief. |
Control | NumMismatch | The wagon that was smashed into the gate were sturdy to the owner’s relief. |
| NumMatch | The wagon that was smashed into the gates were sturdy to the owner’s relief. |
Number Attraction and RRCs
49
31 msec
t=1.909; p=.060
6 msec
t=0.514; p=.609
Str: t=5.749; p<.001
Agr: t=1.832; p=.070
Str*Agr: t=1.248; p=.214
Subordinate-Main Construction
50
S
VP
were
S
NP
?
S’
NP
the men
V
hunted
VP
C
While
NP
the deer
[+N]
[+pl]
Cue-based Retrieval
Partial match
Cue-based Retrieval
Number Attraction and Sub/Main
51
Structure | Question | Sentence |
Garden-Path | NumMismatch | Because the employee negotiated the contact were changed very soon. |
| NumMatch | Because the employees negotiated the contact were changed very soon. |
Control | NumMismatch | Because the employee negotiated, the contact were changed very soon. |
| NumMatch | Because the employees negotiated, the contact were changed very soon. |
Number Attraction and Sub/Main
52
18 msec
t=2.503; p=.012
3 msec
t=0.452; p=.651
Str: t=2.040; p<.051
Agr: t=1.454; p=.146
Str*Agr: t=2.082; p=.037