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Language comprehension
understanding speech
1. differentiating speech sounds from other
noises
2. recognizing words
3. activating their syntactic and semantic
properties
4. building a grammatical structure
5. interpreting this structure
building a grammatical structure?
Do we need to do that?
Well, consider this:
Man bites dog. vs. Dog bites man.
… and how about this?
Police kill man with TV tuner.
Life means caring for hospital director.
Retired priest may marry Springsteen.
Kicking baby considered to be healthy.
Brand door kaars geblust.
Slingerend in een jeep heeft de politie vrijdagnacht een
45-jarige Zeisterse staande gehouden.
De burgemeester ging na het telefoongesprek met de
officier van dienst naar bed.
upshot
• the intended meaning and the funny meaning do
not result from different word meanings or sth.
• rather, they derive from different arrangements of
words into word groups (phrases)
• so, structure determines meaning
• so, yes, structure building (parsing) is a
necessary component of language
comprehension
ambiguity
S
NP
hit
V
He
VP
NP PP
the man with the binoculars
ambiguity
S
NP
hit
V
He
VP
NP
PP
the man with the binoculars
NP
parsing algorithms
• wait-and-see
• parallelism
• conservative guessing
wait-and-see
• take in words up to a natural boundary (e.g. sentence
ending), and then try to arrange them into a structure,
following the grammatical rules
• comprehension will arise after a sentence has ended
• but: we feel we often know how somebody else’s
sentence will end
• and, if a sentence is interrupted, we nonetheless
understand what was said
parallelism
• at any bit of input, create all structures that are
compatible with it
• prediction: the competing structural
representations for an ambiguous piece of input
will all be kept in memory until disambiguating
information comes in
• problem: ambiguity is ubiquitous in natural
language, and memory is limited
(conservative) guessing
• at any bit of input, attempt to build as much
structure as possible
• prediction: mistakes will be made, and retracing
(repairing) will occur
incremental parsing
Sentence
subject
He
incremental parsing
Sentence
subject verb phrase
V
He
incremental parsing
Sentence
subject verb phrase
V
He gave
incremental parsing
Sentence
subject verb phrase
V ind.obj. dir.obj.
He gave her
incremental parsing
Sentence
subject verb phrase
V ind.obj. dir.obj
He gave her flowers
incremental parsing
Sentence
subject verb phrase
??? ??? ???
V ind.obj. dir.obj
He gave her flowers to his mother
incremental parsing: repair
Sentence
subject verb phrase
ind.obj.
V dir.obj
He gave her flowers to his mother
herperspro herposspro
1
3
2
initial attachment decisions
• Garden Path Theory:
attach incoming words to the evolving structure
in the most economic way, I.e., without involving
building blocks the necessity of which is unclear.
for example
He hit the man with the binoculars.
The structure in which “the binoculars” is the
instrument of “hitting” has one node less than the
structure in which it is an attribute of “the man”.
economic
S
NP
hit
V
He
VP
NP PP
the man with the binoculars
less economic
S
NP
hit
V
He
VP
NP
PP
the man with the binoculars
NP
parsing strategies
• minimal attachment
• late closure
• active filler strategy
 ECONOMIZE
the most famous garden path
The horse raced past the barn fell.
Tom Bever, 19..
(The horse that was raced past the barn fell.)
the parser wants to do this:
The horse raced past the barn
S
PP
V
VP
NP
minimal
attachment
…but it has to do this:
The horse raced past the barn
S
PP
V
VP
NP
fell.
NP S V
non-minimal
attachment
how about this?
John said the man will die yesterday.
late closure
another nice one
While she was mending the sock
fell off her lap.
what the parser likes: late closure
another nice one
While she was mending the sock
fell off her lap.
what the parser has to do: early closure
note: since ‘while’ introduces a subordinate S, the main
S is expected anyway: minimal attachment is irrelevant
Keep in mind that …
…the garden path model assumes that structural
(syntactic) analysis is prior to, and independent of,
semantic and pragmatic interpretation!
Is this correct?
• priority?
• autonomy (modularity)?
a note on measurement
• Sometimes a garden path (i.e. parsing difficulty)
is consciously noticeable, like in the horse raced
example.
• However, language is full of ambiguities, and the
majority go by unnoticed.
• So how can we, in such cases, determine
whether the sentence processor has a problem?
time
• The answer lies in the assumption that every bit of
work the sentence processor does takes some time.
• If the processor is garden-pathed, it will have to
retrace and correct its previous decisions, in order
to accommodate the incoming words that don’t ‘fit
in’.
• This we can measure by the time it takes to process
the critical words.
self-paced reading
The ----- ----- --- ------ ---- --- ---- ---.
--- quick brown --- ------ ---- --- ---- ---.
--- ----- ----- fox ------ ---- --- ---- ---.
--- ----- ----- --- jumped over --- ---- ---.
--- ----- ----- --- ------ ---- the ---- ---.
--- ----- ----- --- ------ ---- --- lazy dog.
--- ----- ----- --- ------ ---- --- ---- ---.
--- ----- ----- --- ------ ---- --- ---- ---.
self-paced reading
-80
-40
0
40
80
120
160
rel.pro
Vf-
emb
prep
det
adj
n
Vf-mat
X
Y
Residual
Reading
Times
(ms)
N1 N2
de moeder van de kleuters die zwaaide/en
naar de vertrekkende bus vergat …
eye-movement recording
eye-movement recording
eye-movement recording
the priority issue
relative clauses are ambiguous
… in Dutch:
Karel hielp de mijnwerker die de man vond.
Karel helped the mineworker REL the man found
‘mijnwerker’ and ‘man’ can both be finder and ‘findee’
in other words:
“die”, which refers back to “mijnwerker” can be both
subject (subject-relative) and object (object-relative)
subject-relative is preferred
1. Karel hielp de mijnwerkers die de man vonden.
Karel helped the mineworkers-PL REL the man-SG found-PL
plural verb needs plural subject; “die” = subject
2. Karel hielp de mijnwerkers die de man vond.
Karel helped the mineworkers-PL REL the man-SG found-SG
sing. verb needs sing. subject; “die” = object
• Less errors, shorter reading times, for 1 than
for 2
subject-relative is preferred
Explanation:
readers want to analyse the relative pronoun (“die”)
as the subject of the embedded clause, due to the
Active Filler Strategy
(I.e., this is the most economic option)
if “die” turns out to be the object, the processor has
to re-analyze
Frazier 1987
Mak 2001
1. … moeten de inbrekers, die de bewoner
beroofd hebben, nog een tijdje op het …
2. … moet de bewoner, die de inbrekers beroofd
hebben, nog een tijdje op het …
3. … moeten de inbrekers, die de computer
gestolen hebben, nog een tijdje op het …
4. … moet de computer, die de inbrekers
gestolen hebben, nog een tijdje op het …
Mak 2001
1. … inbrekers, die de bewoner … hebben …
SR; animate - animate
2. … bewoner, die de inbrekers … hebben …
OR; animate - animate
3. … inbrekers, die de computer … hebben …
SR; animate - inanimate
4. … computer, die de inbrekers … hebben …
OR inanimate - animate
350
386
347
336
ms. on aux + 1
summary
• when the two nouns are both animate, SR is faster than
OR
• when there is a difference in animacy, the difference in
reading time disappears
 animacy helps deciding which of the two has to be the
subject – immediately
NO REANALYSIS
upshot
• Mak has shown that semantics (the animacy factor) has
a very early effect on parsing decisions.
• So it would seem unlikely that semantic interpretation
really follows structural analysis.
• Rather, it looks like the two work in tandem.
… but one could argue that the measurements are not
sufficiently sensitive…
does this mean that …
… syntactic and semantic analysis are basically
the same process?
the independence issue
the brain …
… appears to provide an answer to this question
event-related potentials
N400
negative is up!
P600
positive is down!
upshot
• N400 is specifically sensitive to semantic
information
• P600 is specifically sensitive to syntactic
information
upshot
• These two components are different in various
attributes:
– polarity (N vs. P)
– latency (400 vs. 600 ms)
– distribution over the scalp
• So it would seem that different neural networks
generate them
 different centers for syntactic and semantic processing
wrap-up
• Classical models of sentence processing
assumed that syntactic analysis is prior to and
independent of semantic/pragmatic interpretation
• reading-time evidence casts doubt on the priority
assumption
• electrophysiological evidence supports the
independence (autonomy) assumption

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vdocuments.mx_language-comprehension.ppt

  • 2. understanding speech 1. differentiating speech sounds from other noises 2. recognizing words 3. activating their syntactic and semantic properties 4. building a grammatical structure 5. interpreting this structure
  • 3. building a grammatical structure? Do we need to do that? Well, consider this: Man bites dog. vs. Dog bites man.
  • 4. … and how about this? Police kill man with TV tuner. Life means caring for hospital director. Retired priest may marry Springsteen. Kicking baby considered to be healthy. Brand door kaars geblust. Slingerend in een jeep heeft de politie vrijdagnacht een 45-jarige Zeisterse staande gehouden. De burgemeester ging na het telefoongesprek met de officier van dienst naar bed.
  • 5. upshot • the intended meaning and the funny meaning do not result from different word meanings or sth. • rather, they derive from different arrangements of words into word groups (phrases) • so, structure determines meaning • so, yes, structure building (parsing) is a necessary component of language comprehension
  • 8. parsing algorithms • wait-and-see • parallelism • conservative guessing
  • 9. wait-and-see • take in words up to a natural boundary (e.g. sentence ending), and then try to arrange them into a structure, following the grammatical rules • comprehension will arise after a sentence has ended • but: we feel we often know how somebody else’s sentence will end • and, if a sentence is interrupted, we nonetheless understand what was said
  • 10. parallelism • at any bit of input, create all structures that are compatible with it • prediction: the competing structural representations for an ambiguous piece of input will all be kept in memory until disambiguating information comes in • problem: ambiguity is ubiquitous in natural language, and memory is limited
  • 11. (conservative) guessing • at any bit of input, attempt to build as much structure as possible • prediction: mistakes will be made, and retracing (repairing) will occur
  • 15. incremental parsing Sentence subject verb phrase V ind.obj. dir.obj. He gave her
  • 16. incremental parsing Sentence subject verb phrase V ind.obj. dir.obj He gave her flowers
  • 17. incremental parsing Sentence subject verb phrase ??? ??? ??? V ind.obj. dir.obj He gave her flowers to his mother
  • 18. incremental parsing: repair Sentence subject verb phrase ind.obj. V dir.obj He gave her flowers to his mother herperspro herposspro 1 3 2
  • 19. initial attachment decisions • Garden Path Theory: attach incoming words to the evolving structure in the most economic way, I.e., without involving building blocks the necessity of which is unclear.
  • 20. for example He hit the man with the binoculars. The structure in which “the binoculars” is the instrument of “hitting” has one node less than the structure in which it is an attribute of “the man”.
  • 23. parsing strategies • minimal attachment • late closure • active filler strategy  ECONOMIZE
  • 24. the most famous garden path The horse raced past the barn fell. Tom Bever, 19.. (The horse that was raced past the barn fell.)
  • 25. the parser wants to do this: The horse raced past the barn S PP V VP NP minimal attachment
  • 26. …but it has to do this: The horse raced past the barn S PP V VP NP fell. NP S V non-minimal attachment
  • 27. how about this? John said the man will die yesterday. late closure
  • 28. another nice one While she was mending the sock fell off her lap. what the parser likes: late closure
  • 29. another nice one While she was mending the sock fell off her lap. what the parser has to do: early closure note: since ‘while’ introduces a subordinate S, the main S is expected anyway: minimal attachment is irrelevant
  • 30. Keep in mind that … …the garden path model assumes that structural (syntactic) analysis is prior to, and independent of, semantic and pragmatic interpretation!
  • 31. Is this correct? • priority? • autonomy (modularity)?
  • 32. a note on measurement • Sometimes a garden path (i.e. parsing difficulty) is consciously noticeable, like in the horse raced example. • However, language is full of ambiguities, and the majority go by unnoticed. • So how can we, in such cases, determine whether the sentence processor has a problem?
  • 33. time • The answer lies in the assumption that every bit of work the sentence processor does takes some time. • If the processor is garden-pathed, it will have to retrace and correct its previous decisions, in order to accommodate the incoming words that don’t ‘fit in’. • This we can measure by the time it takes to process the critical words.
  • 34. self-paced reading The ----- ----- --- ------ ---- --- ---- ---. --- quick brown --- ------ ---- --- ---- ---. --- ----- ----- fox ------ ---- --- ---- ---. --- ----- ----- --- jumped over --- ---- ---. --- ----- ----- --- ------ ---- the ---- ---. --- ----- ----- --- ------ ---- --- lazy dog. --- ----- ----- --- ------ ---- --- ---- ---. --- ----- ----- --- ------ ---- --- ---- ---.
  • 40. relative clauses are ambiguous … in Dutch: Karel hielp de mijnwerker die de man vond. Karel helped the mineworker REL the man found ‘mijnwerker’ and ‘man’ can both be finder and ‘findee’ in other words: “die”, which refers back to “mijnwerker” can be both subject (subject-relative) and object (object-relative)
  • 41. subject-relative is preferred 1. Karel hielp de mijnwerkers die de man vonden. Karel helped the mineworkers-PL REL the man-SG found-PL plural verb needs plural subject; “die” = subject 2. Karel hielp de mijnwerkers die de man vond. Karel helped the mineworkers-PL REL the man-SG found-SG sing. verb needs sing. subject; “die” = object • Less errors, shorter reading times, for 1 than for 2
  • 42. subject-relative is preferred Explanation: readers want to analyse the relative pronoun (“die”) as the subject of the embedded clause, due to the Active Filler Strategy (I.e., this is the most economic option) if “die” turns out to be the object, the processor has to re-analyze Frazier 1987
  • 43. Mak 2001 1. … moeten de inbrekers, die de bewoner beroofd hebben, nog een tijdje op het … 2. … moet de bewoner, die de inbrekers beroofd hebben, nog een tijdje op het … 3. … moeten de inbrekers, die de computer gestolen hebben, nog een tijdje op het … 4. … moet de computer, die de inbrekers gestolen hebben, nog een tijdje op het …
  • 44. Mak 2001 1. … inbrekers, die de bewoner … hebben … SR; animate - animate 2. … bewoner, die de inbrekers … hebben … OR; animate - animate 3. … inbrekers, die de computer … hebben … SR; animate - inanimate 4. … computer, die de inbrekers … hebben … OR inanimate - animate 350 386 347 336 ms. on aux + 1
  • 45. summary • when the two nouns are both animate, SR is faster than OR • when there is a difference in animacy, the difference in reading time disappears  animacy helps deciding which of the two has to be the subject – immediately NO REANALYSIS
  • 46. upshot • Mak has shown that semantics (the animacy factor) has a very early effect on parsing decisions. • So it would seem unlikely that semantic interpretation really follows structural analysis. • Rather, it looks like the two work in tandem. … but one could argue that the measurements are not sufficiently sensitive…
  • 47. does this mean that … … syntactic and semantic analysis are basically the same process?
  • 49. the brain … … appears to provide an answer to this question
  • 53. upshot • N400 is specifically sensitive to semantic information • P600 is specifically sensitive to syntactic information
  • 54. upshot • These two components are different in various attributes: – polarity (N vs. P) – latency (400 vs. 600 ms) – distribution over the scalp • So it would seem that different neural networks generate them  different centers for syntactic and semantic processing
  • 55. wrap-up • Classical models of sentence processing assumed that syntactic analysis is prior to and independent of semantic/pragmatic interpretation • reading-time evidence casts doubt on the priority assumption • electrophysiological evidence supports the independence (autonomy) assumption