The Role of Telicity in
Sentence Comprehension

Steve Seegmiller, Karen Ingraffea, and

David Townsend

Montclair State University

 

Presented at It's About Time,

LSA Summer Conference,

July 2003

Research Questions

"What role does event structure (specifically telicity) play in sentence processing?

"When does telicity come into play during processing?

"What is the linguistic nature of telicity?

Data

"          Results of processing experiment

"           Results of experiment eliciting acceptability judgments of sentences

"          Results of examination of a large corpus of         English

 

Telicity: An Overview

Our Assumptions about Telicity:

Telicity is a semantic property that reflects the boundedness of events: verbs that denote bounded events are telic; those that denote unbounded events are atelic

Telicity is partly an inherent lexical property of verbs and partly a compositional property of predicates

Telic predicates need a delimiter, such as an object NP, to provide boundedness

There are two useful diagnostics for telicity: the in/for test and the homogeneity test

Diagnostics for Telicity

"The in/for test:

Telic predicates take in + temporal NP:

She won the race in/*for an hour

Atelic predicates take for + temporal NP:

She ran for/*in an hour

2. The homogeneity test:

Atelic events are homogeneous

Telic events are not homogeneous

 

Verbs

For the processing experiment we used a set of 64 verbs – 16 of each of the following:

–    Telic, transitive only (Tto): e.g. identify

–    Telic, potentially intransitive (Tpi): e.g. heal

–    Atelic, transitive only (Ato): e.g. ridicule

–    Atelic, potentially transitive (Api): e.g. assist

 

Self-Paced Reading Experiment

The self-paced reading experiment used sentences like

•            The woman (that was) identified at the clinic rejoined the demonstration

•            The woman (that was) healed at the clinic ...

•            The woman (that was) ridiculed at the clinic...

•            The woman (that was) assisted at the clinic...

Reading Time Measurements

Reading times were measured at the first verb, the preposition, the article, the noun, and the second verb:

  The woman healed at the clinic rejoined the demonstration

                      V1    P  Art   N        V2

 

Predicted Results

Predicted results:

–          Reading times will be longer for reduced than for unreduced relative clauses (the garden path effect)

–          The garden path effect will be smaller for telic verbs than for atelic verbs

 

Mean Word Reading Times for
Telic vs. Atelic Verbs

Telicity Effects in Self-Paced
Reading Experiment

Transitivity Effects in Self-Paced Reading Experiment  

Explaining the Results

Possible explanations for the failure to find the predicted effect:

Telicity plays a role in sentence processing, and it comes into play late rather than early

Our materials were faulty – perhaps we misclassified the verbs in our sentences

Our assumption(s) about telicity are mistaken – maybe telic verbs are not particularly inclined to take objects

Forced-Choice Test

As a check on our verb classifications, we asked subjects to consider sentence pairs like

–    The mother burped the baby in three minutes

–   The mother burped the baby for three minutes

They were asked whether sentence (a) or (b) is better, whether both are equally good, or whether neither is good

Percentage of Acceptability Choices
for 64 Experimental Verbs

Percentage of Acceptability Choices
for Eight Classic Verbs

% in - % for Responses on
Forced-Choice Task

Summary of Results on Forced Choice Test

The in/for test is sometimes effective in distinguishing telic and atelic verbs and sometimes not.

Conclusion: the in/for tests must be used with caution when creating materials.

 

Corpus Data

SOURCE: 56-million word Collins COBUILD Corpus  (http://www.cobuild.collins.co.uk)

QUESTIONS:

–    Are telic verbs usually transitive?

–    Have we classified our verbs correctly as telic or atelic?

–    Are verbs consistently either telic or atelic in their behavior?

Corpus Results 1:
Telicity vs. Transitivity

Corpus Results 2: Percentage of Transitive and Intransitive Uses

Corpus Results 3:
Telicity Switches

Conclusions from the
Corpus Data

"Verbs can vary greatly in their meanings and their uses: a given verb may be telic in some uses and atelic in others, or unaccusative in some and unergative in others.

"Telic verbs are not, in fact, more likely to have objects than atelic verbs

"While there are no significant differences between telic and atelic verbs in their likelihood to switch telicity, between 12 and 21 percent of the time, an atelic verb is used with a telic meaning and a telic verb is used with an atelic meaning.

Summary of Results

On the self-paced reading task:

"    Telicity has a significant effect on reading times on V2, the verb of the main clause: telic verbs are read more quickly than atelic verbs.

"    Telicity has no significant effect on the garden path effect.

"    Transitivity has a significant early effect on the garden path effect (on the preposition).

     

Summary of Results 2

Based on the forced-choice test:

      The in/for test is not always reliable in distinguishing between telic and atelic verbs.

Based on the corpus data:

"     The classification of verbs as telic or atelic, or as unaccusative or unergative, does not seem to be categorical, i.e. a given verb may switch from one use to another.

"     There is only a weak association between telicity and transitivity.

Conclusions

"    The binary-feature model for classifying verbs may not be the right one with respect to features like telicity.

"     Telicity is, at least in part, contextually determined.

"    Both telicity and transitivity have effects in sentence processing, but they have different effects: transitivity comes into play early, while telicity comes into play late.

Acknowledgments

We would like to thank Tom Bever and Errin O’Bryan for enlightening discussion on the topics of telicity and processing.

Lisa Indovino, Keri Woelpper, Jacky Pita, Katherine Thomas, and Marcela Pacesova contributed greatly to this project in the preparation of materials and in the gathering, coding, and analysis of the data.