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– 5 –Sentence:
Comprehension and Memory
Kuntum Trilestari (20112506002)
PsycholinguisticsDr. Tahrun, M.Pd.Dr. Bambang A. Loenetto, M.A.
Sentence and Clause as Unit
In syntactic structure
A sentence is the top-level constituent A subject - a predicate
In content
A sentence expresses one complete thought A topic – a comment
In physical appearance
A written sentence
A spoken sentenceCapital letter – period
High pitch – lengthened sound and pause
PR
OC
ES
SIN
G U
NIT
S
Sentence and Clause as Unit
Example:• After the cook stole the women’s bag...• Meeting the pretty young girl...
Clauses are perceptual units
Whether a clause is complete or not affects its
effectiviness as a unit
PR
OC
ES
SIN
G U
NIT
S
Phrase and Word as Unit
Sentence
Clause
Phrase
Word
PR
OC
ES
SIN
G U
NIT
S
Consists of a few content words Frequency, length,
and importance of a word affect how it
is processed
Example:I know that (the/this)... desert trains young people to be especially tough
Case-Role Assignment
• Case-role assignment in English is based partly on the syntactic factor of word order.
NVN = SVO = AAP(NOUN-VERB-NOUN) (SUBJECT-VERB-OBJECT) (AGENT-ACTION-PATIENT)
CA
SE
-RO
LE A
SS
IGN
ME
NT
A
ND
S-V
PR
OC
ES
SIN
G
Words are represented as many semantic microfeatures:
NOUN: HUMAN (human or nonhuman), Gender (male, female, neutral)
VERB: DOER (yes or no), CAUSE (yes, no-cause, no-change)
Subject – Verb Processing
An interpreter must find and relate the subject
and its verb.
Example:
• The girl standing beside the lady had a blue dress.
• The dog teased the cat that chased the rat that ran.
• The rat that the cat that the dog teased chased ran.
CA
SE
-RO
LE A
SS
IGN
ME
NT
A
ND
S-V
PR
OC
ES
SIN
G
Relative Frequency of Sentence Structures
SAADs (Simple – Affirmative – Active –
Declarative)
Common used
assert new information with the least
presupposition.
Example:
He read the book.
ST
RU
CT
UR
ALL
Y R
ELA
TE
D
SE
NT
EN
CE
S
Negative Sentence
Take longer to process
Syntactically more complex
Processed in two stages
Its many possible meaning
Cognitively, Semantically, Pragmatically, Syntactically
complex
ST
RU
CT
UR
ALL
Y R
ELA
TE
D
SE
NT
EN
CE
S
Example:
1. John gave Mary a book.
2. John did not give Mary a book
Passive Sentence
Affected by pragmatic
factors
Available in certain contexts
Types of verbs – action vs
stative, “marked or unmarked”
Useful for emphasizing actions and
deemphasizing agents.
ST
RU
CT
UR
ALL
Y R
ELA
TE
D
SE
NT
EN
CE
S
Example: The boy kissed the girl The girl was kissed by the boy
Pragmatic Factor: Plausibility
• e.q: The mother feeds her baby milk
Plausible sentence:
• e.q: The baby feeds its mother milk
Implausible sentence:
• e.q: The baby smiles at the mother• e.q: The mother smiles at the baby
Neutral sentence: PR
AG
MA
TIC
& S
EM
AN
TIC
FA
CT
OR
S I
N C
OM
PR
EH
EN
SIO
N
• 1. The patient was treated by the doctor• 2.a. The boy was hit by the girl• 2.b. The girl was hit by the boy
Nonreversible passive:
Semantic Factors
individual content words and their relations in a sentence.
Can be manipulated in the degree to which the content
words in a clause can be integrated
Sentence complex words occur infrequently, have
abstract meaning, ambiguous, novel or complex
PR
AG
MA
TIC
& S
EM
AN
TIC
FA
CT
OR
S I
N C
OM
PR
EH
EN
SIO
N
Manipulated test sentence:1. Well integrated. The little boy drank
the milk.2. Poorly integrated. The aunt saw the
door and left.3. Anomalous. My tasty owner spilled
the captain madly.
Syntactic complexity:4. Simple. The boy hit the ball.5. Compound. The boy hit the ball and
ran.6. Complex. After hitting his sister, the
brother cried.7. Scrambled. the ate fat grass green
cattle the.
A Product of Comprehension – A Gist
Extract its message E.q: The housewife killed the cockcroach with insecticide.
Note: The gist of each sentence may be forgotten after it has made contribution to
building a higher-level gist, or mental representation, for a paragraph or a passage
as a whole.
PR
AG
MA
TIC
& S
EM
AN
TIC
FA
CT
OR
S I
N C
OM
PR
EH
EN
SIO
N
PARSING STRATEGIES
The structural analysis of a sentence –parsing– sorts out which word or phrase
is the subject, the object, the complement and the modifier, in relation to a verb
A cognitive process and takes up a portion of the limited capasity of working memory during sentence somprehension
PA
RS
ING
ST
RA
TE
GIE
S
Goal:To analyze a sentence correctly and rapidly, without taxing working memory too heavily
Canonical-sentence strategy
Cannonical NVN = SVO and other cues for parsing
Minimal Attachment & Late Closure
Late-closu
re strategy
•Since Jay always jogs a mile and a half this seems like a short distance to him.
•Since Jay always jogs a mile and a half seems like a very short distance to him.
PA
RS
ING
ST
RA
TE
GIE
SMinimal-attachme
nt strategy
•The city council argued the mayor’s position forcefully.
•The city council argued the mayor’s position was incorrect.
Filler – Gap Sentence
2 strategies in filling a gap
A first-resort strategy posits a gap following any verb (transitively) and is not immediately followed by a noun phrase.
A last-resort strategy posits a gap only when a mandatory argument is missing/ when the end of a sentence is reached
and there is till an unassigned filler
1. The businessman knew which customer the secretary called ___ at home.
2. The businessman knew which article the secretary called ___ at home.
PA
RS
ING
ST
RA
TE
GIE
S
Autonomous Modular Processor
The lexical processor
The structural processor
The interpretive processor
CO
MP
RE
HE
NS
ION
MO
DE
LS
: A
UT
ON
OM
OU
S V
S IN
TE
RA
CT
IVE
P
RO
CE
SS
ING
Retrieves words from the lexicon using only phonological information.
Produces a constituent structure for a sentence using only syntactic
information.
Constructs a representation of the meaning of the sentence, using
knowledge of the world.
Polysemous word: “watch”
I bought the watch I will watch
Pragmatic-Semantic Vs Syntactic Factors
Structural ambiguity can be caused by a faulty arrangement of constituents
CO
MP
RE
HE
NS
ION
MO
DE
LS
: A
UT
ON
OM
OU
S V
S IN
TE
RA
CT
IVE
P
RO
CE
SS
ING
The spy saw the cop with binoculars
The spy saw the cop with a revolver
Example:
Context Effect on Word Recognition
A narrow context
(one domain of discourse)
A strong context
(relevant meaning)
preceding words
sentences situation,
discourse topics,
titles,
headings
as well as preceding and following paragraph, illustration, tables and
the like.
CO
MP
RE
HE
NS
ION
MO
DE
LS
: A
UT
ON
OM
OU
S V
S IN
TE
RA
CT
IVE
P
RO
CE
SS
ING
Sentence Understanding by Computers
Expectation-based conceptual
analysisA parser Scanning words
from Left to right
Categorizing each word for its
class
Applying syntactic and lexical rules
Arriving constituent structure
CO
MP
RE
HE
NS
ION
MO
DE
LS
: A
UT
ON
OM
OU
S V
S IN
TE
RA
CT
IVE
P
RO
CE
SS
ING
Example:
Fred ate an apple
ConclusionA sentence or clause serves a major processing unit.
An interpreter of a sentence must relate the two critical constituents of a sentence (SV)
A SAAD tends to be easier to process.
In interpreting a sentence (structural garden path, syntactic processor) prefers initial and simplest structure, which may turn out to be unparsable and to require reanalysis.A gist is a product of sentence comprehension (key words and its relation)
Theorists have proposed several parsing strategies: canonical NVN = SVO, late closure and minimal attachment.
Three modular of comprehension system: lexical, structural and interpretive processor.
Computer can be programed to understand a limited kind of language.
CO
NC
LUS
ION