Title: The Interaction of Lexical and Syntactic Ambiguity
1The Interaction of Lexical and Syntactic Ambiguity
- by
- Maryellen C. MacDonald
- presented by
- Joshua Johanson
2What 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
3Approach 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
4Approach 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
5Delay 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
6Frazier 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
7Results
8Criticism
- 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
9MacDonalds 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
10Sentences
- 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
11Sample Question Set
12Results 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
13Why 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
14Results from the End Region
- Obvious benefits from disambiguating the
- Still some residual this/these confusion,
except when it disambiguates these desert trains
15Experiment 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)
16Setup
- 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)
18Results
19Observations
- 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
20Can 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?)
21How 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
22Results
- 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
23How 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
24Do 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.
25Lets 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
26Shouldnt 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
27I wonder how that affect carries out to the rest
of the sentence?
28(No Transcript)
29Conclusions
- 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
31Questions?