The Interaction of Lexical and Syntactic Ambiguity - PowerPoint PPT Presentation

1 / 31
About This Presentation
Title:

The Interaction of Lexical and Syntactic Ambiguity

Description:

Both syntax and lexical ambiguities resolved via probabilistic constraints ... 'desert trained', which is NV, with 'desert-trained' which is an adjective ' ... – PowerPoint PPT presentation

Number of Views:76
Avg rating:3.0/5.0
Slides: 32
Provided by: EPLT
Category:

less

Transcript and Presenter's Notes

Title: The Interaction of Lexical and Syntactic Ambiguity


1
The Interaction of Lexical and Syntactic Ambiguity
  • by
  • Maryellen C. MacDonald
  • presented by
  • Joshua Johanson

2
What do you mean by lexical and syntactic
ambiguity?
  • Lexical Ambiguity
  • financial bank/river bank
  • Syntactic Ambiguity
  • I saw the spy with the binoculars
  • Lexical and Syntactic Ambiguity
  • to watch/a watch

3
Approach 1 Unified Approach
  • Both syntax and lexical ambiguities resolved via
    probabilistic constraints
  • Very complex interaction
  • All lexical and syntactic interpretations are
    activated until one is favored
  • The alternative view uses garden sentences to
    argue that only one syntactic interpretation is
    activated
  • I told the girl that the boy met the story
  • While Mary was mending the sock fell on the floor

4
Approach 2 Different mechanism for each type of
ambiguity
  • Lexical Ambiguity
  • Representations are created and stored
  • All senses are activated in parallel until most
    probable one is chosen
  • Sytactic Ambiguity
  • Parses are constructed, not stored
  • There is only one serial parse
  • Lexical and Semantic Ambiguity
  • The Delay Model

5
Delay Model
  • If there is an interaction between lexical and
    syntactic ambiguity, resolution of the ambiguity
    waits until it is no longer ambiguous
  • I know that the desert trains could resupply the
    camp.
  • I know that the desert trains soldiers to be tough

6
Frazier and Rayners experiment
  • Measured eye fixation for reading times
  • Compared ambiguous readings with unambiguous
    readings
  • Used this/these to disambiguate
  • This desert trains
  • These desert trains

7
Results
8
Criticism
  • End region is not consistent (3-10 words)
  • Delay may come from another source besides the
    ambiguity
  • This and These are usually used as anaphoric
    references, but there is no mention of which
    desert or which trains these refer to.
  • This could be awkward and may be the cause in the
    delay, not the disambiguation

9
MacDonalds Experiment
  • 53 MIT undergraduates tested
  • Saw one word at a time on the screen
  • Pressed space when they were done
  • Asked comprehension question at the end (No
    feedback)
  • Threw out tests if the comprehension question
    were wrong
  • Threw out 5 participants who got more than 20 of
    the comprehension questions wrong

10
Sentences
  • Modified Fraziers questions to have exactly four
    words after the ambiguous phrase
  • Instead of using the modifier to dis-ambiguate,
    they used the part of speech
  • the deserted trains
  • the desert trained
  • Kept the this/these distinction

11
Sample Question Set
12
Results from Ambiguous Region
  • No difference between the desert trains and
    the deserted trains
  • Using anaphoric modifiers increases reading time
    across the board
  • Disambiguation increases reading time in the NV
    interpretation

13
Why does disambiguation increase reading time
  • Inherent NN bias affected the reading times
  • Readers might have confused desert trained,
    which is NV, with desert-trained which is an
    adjective
  • The desert trains soldiers doesnt necessarily
    imply NV
  • The desert trains (that) soldiers attacked were
    destroyed

14
Results from the End Region
  • Obvious benefits from disambiguating the
  • Still some residual this/these confusion,
    except when it disambiguates these desert trains

15
Experiment 2
  • Hypothesis A strong semantic bias affects
    ambiguity resolution
  • This would disprove the delay model, which
    suggests all disambiguation waits until the
    disambiguation is resolved.
  • Avoids anaphoric determiners
  • corporation fires (ambiguous)
  • corporations fire (unambiguous)

16
Setup
  • 44 (out of 46) MIT undergrads
  • Same basic setup as before with keyboard and
    comprehension questions
  • 16 questions, each with and without and ambiguity
    with and without supportive bias
  • Uses different NV combinations to bias the
    interpretation
  • corporation fires NV bias
  • warehouse fires NN bias

17
(No Transcript)
18
Results
19
Observations
  • Very little difference in the Supportive Bias
    times
  • Still seems to be a reverse ambiguity effects
  • There might be something to do with it taking
    longer to process NVs that NNs.
  • Using a word that is still ambiguous but has a
    stronger bias affects the results
  • This is not supported by the delay model

20
Can we predict how strong the effect will be?
  • How often is the word the head of the phrase
    rather than the modifier
  • How often is the word a verb rather than a noun
  • (to warehouse prisoners)
  • How often do the words appear together
  • How plausible is the situation
  • (Is a corporation more likely to have a fire or a
    warehouse?)

21
How they collected it
  • Wall Street Journal corpus (yea!!!)
  • Counted the number occurrences for the how
    often questions.
  • Plausibility is subjective, and could be
    influenced by other factors
  • They tested 96 native English speakers on
    sentence completion and counted number of times
    they completed it as a NN vs. NV
  • The warehouse fires

22
Results
  • Percentage Heads
  • Supportive bias (corporation fires) 85.5
  • Unsupportive bias (warehouse fires) 58.8
  • Noun/Verb interpretation
  • 6.5 verb usage (to warehouse prisoners)
  • Co-occurrence
  • Supportive bias .1
  • Unsupportive bias 2.1(exact) and 42.(combined)
  • Still very sparse, went with a Boolean exist or
    not exist
  • Sentence Completion Norms
  • Supportive bias 50.9 NV interpretation
  • Unsupportive bias 9.6 NV interpretation

23
How do these biases affect reading times?
  • Stepwise regression function
  • Stepwise regression only used the head measure
    results
  • r2 .19, F(1,30), p .01
  • Simple regression
  • As supportiveness for NV interpretation increase,
    reading time increases
  • Co-occurrence had the reverse effect, since
    co-occurrence seems to promote NN interpretation

24
Do these affect unambiguous sentences
  • Yes. People tend to read plausible sentences
    more quickly than less plausible sentences. This
    may indicate that plausibility might help
    disambiguate more than modifiers.
  • the corporations fire was read more quickly
    than the warehouses fire.

25
Lets do another step-wise regression!
  • This time we use the difference between the
    ambiguous and unambiguous readings
  • The partial correlation between reading time
    differences and the percentage head measure was
    .47
  • If the word is more likely to be a head, the
    reading time increased with the ambiguity.
  • The partial correlation with the sentence
    completion norms was -.37
  • If the word is more plausible, the reading time
    decreases with the ambiguity

26
Shouldnt it be the other way around?
  • Apparently not. We know that NVs take longer to
    read than NNs. Maybe an incorrect reading of the
    word as a NN actually decreases the reading time
    more than having the correct reading of a NV.
  • the warehouse fires
  • the warehouses fire

27
I wonder how that affect carries out to the rest
of the sentence?
28
(No Transcript)
29
Conclusions
  • Both lexical and combinatorial factors influence
    the ambiguity resolution process
  • These factors accounted for a significant portion
    of variance in reading times
  • More constraints promoted NV, the smaller the
    effect of ambiguity
  • This data does not support the delay model
  • Psycholinguistics has underestimated the
    influence of probabilistic information

30
  • Do we really keep track of the
  • number of times that a noun is used
  • as the head of a noun phrase?
  • We might need it to disambiguate between head
    nouns and noun modifiers
  • Maybe it just reflects other factors
  • Animacy?
  • Morphological analysis

31
Questions?
Write a Comment
User Comments (0)
About PowerShow.com