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Structural analysis of expected and unexpected clauses in sentences - - PowerPoint PPT Presentation

Structural analysis of expected and unexpected clauses in sentences using gaze-tracking studies Chirag Gupta IIT Kanpur October 20, 2012 Introduction Consider the following sentences The ball was kicked by Bhutia into the goal. The


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Structural analysis of expected and unexpected clauses in sentences

using gaze-tracking studies

Chirag Gupta IIT Kanpur

October 20, 2012

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Introduction

  • Consider the following sentences
  • The ball was kicked by Bhutia into the goal.
  • The ball was kicked into the goal by Bhutia.
  • Bhutia kicked the ball into the goal.
  • Above sentences are all grammatically correct.
  • Only the third one seems natural.
  • First two sentences have an added adverbial clause, that

could be avoided.

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Incremental evaluation

  • The brain constructs parse trees incrementally, or by

looking at the local context of the phrase.

  • How would the brain parse the following two

sentences?

  • “The mango was eaten by Aniket”
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The mango was eaten by Aniket.

S ? ?

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The mango was eaten by Aniket.

S NP D ? The mango N

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The mango was eaten by Aniket.

S NP D AUX The mango was N ?

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The mango was eaten by Aniket.

S NP D VP The mango was N AUX eaten V ?

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The mango was eaten by Aniket.

S NP D VP The mango was N AUX eaten by Aniket V NP

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Ambiguities in incremental evaluation

  • What happens with such sentences?
  • “Buffalo buffalo Buffalo buffalo buffalo buffalo

Buffalo buffalo”

Source: Wikipedia

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Garden path sentences

  • Definition : A grammatically correct sentence that

starts off in such a way that a reader's interpretation using the most likely parse in incremental evaluation will be incorrect. The reader is lured into a parse that turns out to be a dead end.

  • “As the police stopped the driver became very

frightened”

Source: Wikipedia Source: Pickering and Traxler, ‘98

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Garden path sentences

Source: Wikipedia Source: Pickering and Traxler, ‘98

  • Definition : A grammatically correct sentence that starts
  • ff in such a way that a reader's interpretation using the

most likely parse in incremental evaluation will be

  • incorrect. The reader is lured into a parse that turns out

to be a dead end.

  • “As the police stopped the driver became very

frightened”

  • In speech, ambiguities are much easier to resolve due to

punctuation related inflections.

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Disambiguation and reanalysis

  • On hitting a clause that is unexpected with respect to the

current analysis, a disambiguation occurs through reanalysis.

  • These effects can be observed, in gaze-tracking studies,

by statistical analysis of

1. Regressions: moving from the current spot to a spot on the left. 2. First pass time 3. Overall fixation time.

  • Note that parts 1 and 2 focus on a local clause, and are

concerned with its plausibility, whereas part 3 deals with the sentence as a whole.

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Study 1 (replication)

  • Traxler and Pickering (‘98) study the effect of garden

path sentences have, using gaze tracking studies.

  • Unnatural / unexpected parts of sentences will have

larger first pass time and regressions as compared to naturally expected parts.

  • Sentences that contain unexpected clauses will have

a larger total pass time.

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Subordinate-clause ambiguities

  • “As the woman edited the magazine amused all the

reporters”

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Subordinate-clause ambiguities

  • “As the woman edited the magazine amused all the

reporters”

  • Object analysis (‘magazine’) turns out to be wrong.

‘Amused’ indicates that it must be the subject of the verb phrase, and not the object of the noun phrase.

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Attachment to a more plausible clause

  • Pickering and Traxler (‘98) noted that first pass time

was longer if the first part of the clause was more plausible.

  • Readers ‘attached themselves more strongly’ to that

clause.

– As the woman edited the magazine amused all the reporters. (difficulty in reanalysis) – As the woman sailed the magazine amused all the reporters. (more easily reanalyzed)

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Complement-clause ambiguities

  • “The criminal confessed his sins harmed too many

people.”

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Complement-clause ambiguities

  • “The criminal confessed his sins harmed too many

people.”

  • Again, we can have a plausible object phrase, and an

implausible one. Consider,

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Complement-clause ambiguities

  • “The criminal confessed his sins harmed too many

people.”

  • Again, we can have a plausible object phrase, and an

implausible one. Consider,

  • “The criminal confessed his gang harmed too many

people.”

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‘Control’ sentences

  • As the woman edited the magazine amused all the

reporters  As the woman edited, the magazine amused all the reporters

  • The criminal confessed his sins harmed too many

people  The criminal confessed that his sins harmed too many people

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Proposition

  • The above work also ‘induces’ the following two classes
  • f sentences.
  • Those that are plausible, and also have an expected

structure VS those that are plausible, but have an unexpected structure.

– The magician touched the boy with a wand. – The magician touched the boy with a ball.

  • Both sentences completely natural, punctuated, and in

their most canonical forms. Yet, the first one is more easily parsed.

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Study 2 (proposed)

  • What sentential structures are more natural?
  • A paragraph containing around 15 sentences of various

syntactic forms.

  • All sentences grossly plausible.
  • Pass time, and number of regressions measured for each

sentence.

  • Followed by an ANOVA on average reading time and variance

across subjects, for various sentences.

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References :

  • “Plausibility and Recovery From Garden Paths: An Eye-Tracking

Study”, Pickering and Traxler ’98

  • “The time-course of the application of binding constraints in

reference resolution”, Sturt ‘03

  • “Plausibility and the Processing of Unbounded Dependencies: An

Eye-Tracking Study”, Pickering and Taxler ’98

  • “Eye movements in reading and information processing: 20 years of

research”, Rayner and Keith ’98

  • “The On-line Study of Sentence Comprehension: Eyetracking, ERPs

and Beyond”, book by Manuel Carreiras ‘04