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Together at Last: How Tense and Aspect Interact in Simulation Semantics

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I told them I had (had) more time on the meter. ... perfective stem present inflection, e.g., Latin amabo I will love' ( amav o) ... – PowerPoint PPT presentation

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Title: Together at Last: How Tense and Aspect Interact in Simulation Semantics


1
Together at LastHow Tense and Aspect Interact
in Simulation Semantics
2
The Problem
  • Aspectual theorists have proposed revealing
    models of type shifts, both explicit and
    implicit
  • Explicit type-shifting
  • Progressive Process ? State (e.g., She was
    singing)
  • Perfect Event ? State (e.g., The Eagle has
    landed)
  • Implicit type-shifting (coercion)
  • State ? episode of stasis She was depressed
    twice.
  • State ? inchoative event I liked her within a
    minute.
  • These models rely on an ontology of idealized
    situation types (process, state, event, etc.).
  • In this respect, they are incompatible with
    models of tense.

3
The Problem
  • Unlike aspect, tense lacks an ontology.
  • Tense is purely relational there are no
    tense-type entities corresponding to
    aspectual-type entities.
  • Tense relates speech time to reference time (R).
  • R is located relative to the encoded situation
    it constrains inference potential.
  • Tense semantics are therefore based on a location
    metaphor R is speaker/hearer location.
  • By contrast, aspectual semantics are based on an
    entity metaphor.
  • But tense and aspect are much more similar than
    the traditional models imply.

4
Tense-Aspect Interfaces
  • Tenses convey aspectual perspectives like
    attention to endpoints
  • My ex-husband is/was Latvian.
  • I took a cab over. The driver was/?is Latvian.
  • Aspect determines direction of inclusion for R
  • State Pat was in Cleveland in June. (state
    overflows R)
  • Event Pat visited Cleveland in June. (event
    exhausted by R)
  • Tense and aspect jointly encode overlap/sequence
  • I told them I had (had) more time on the meter.
  • Tenses select aspectual types, and as such are
    coercion triggers. a eu
  • Margot sest retournée. Henri avait lair
    heureux.
  • Marge turned around. Harry was (perf/imperf)
    happy.

5
Our Purpose
  • We will propose a simulation-based model of tense
    that is isomorphic to models of phasal aspect
    proposed by Narayanan 1997 and Chang, Gildea
    Narayanan 2000.
  • This model will capture tense-aspect interfaces,
    in particular the role of tense in triggering
    aspectual type-shifts.
  • We will use this model to account for two
    traditionally mysterious kinds of semantic
    effects
  • Habitual coercion She took the bus to work that
    summer.
  • Present-tense coercion She takes the bus to
    work.
  • We will model these type shifts by assuming
    x-schemas for tense that are combinable with
    aspectual x-schemas.
  • Tense x-schemas will be known as sampling sets.

6
Coercion by Tense Habituals
  • Habitual predications count as state
    predications
  • Extensibility
  • She smoked back then and I think she still does.
  • She enlisted in 1985 and I think she still does.
  • Present-tense reporting
  • She smokes.
  • Look! That woman smokes a cigar.
  • However, via internal composition they are not
    states but iterated events (like pacing, bouncing
    a ball, etc.).
  • No predication is born habitual, so in the
    absence of a dedicated habitual marker, habitual
    meaning must come from an implicit type shift.
  • But what grammatical form performs this type
    shift?

7
Coercion by Tense Present
  • The present tense is a state selector (Langacker
    1987)
  • She is ill for three days.
  • She dribbles the basketball.
  • Present distorts Aktionsart projected by
    predicators
  • Futures from perfective stempresent inflection,
    e.g., Latin amabo I will love (ltamav o)
  • Habitual-event reports
  • She visits her mother. (possible iff assigned a
    habitual reading)
  • Progressive reports in, e.g., French
  • Eh bien, à present, je me sens mieux. Le morale
    revient. Now I feel better. My morale is coming
    back. (Binet, Bidochon 8 42)
  • Perfect reports in, e.g., French
  • Ca fait dix minutes quelle nous parle de la
    moquette! Shes been telling us about the carpet
    for 10 minutes. (Binet, Bidochon 1017)

8
Simulation Semantics
  • Inspired by biological control theory, Simulation
    Semantics models events as executing-, or
    x-schemas.
  • An x-schema is a Petri net a weighted graph
    consisting of places (circles) and transitions
    (rectangles) connected by directed input and
    output arcs.
  • A state is defined by the placement of a token (a
    black dot or number) in a particular place.
  • The real-time execution semantics of Petri nets
    models the production and consumption of
    resources
  • A transition is enabled when its input places are
    marked such that it can fire by movement of
    tokens from input to output.
  • Arcs include resource, enable and inhibitory
    arcs.
  • Actions have hierarchical structure, permitting
    embeddings.

9
Basic X-Schema Distinctions

10
X-Schemas and Aktionsart
11
A Schema Controller
iterate
Ready
Done
Start
Process
Finish
interrupt
resume
Cancel
Suspend
  • The controller sends signals to the embedded
    schema.
  • It transitions based on signals from the embedded
    schema.
  • It captures higher level coordination of actions.

12
Phasal Aspects Map to Controller
Iterative (repeat)
Inceptive (start, begin)
Iterate
Ready
Done
Start
Process
Finish
interrupt
resume
Cancel
Suspend
Completive (finish, end)
Resumptive(resume)
13
Phases of Climb
Iterate
Ready
Done
Start
Process
Finish
resume
Suspend
interrupt
Cancel
BINDINGS
Energy Ready Standing
On top
14
About to Climb (Prospective)
Iterate
Ready
Done
Start
Process
Finish
resume
Suspend
interrupt
Cancel
BINDINGS
Energy Ready Standing
On top
15
Be- Climbing (Progressive)
Iterate
Ready
Done
Start
Process
Finish
resume
Suspend
interrupt
Cancel
BINDINGS
Energy Ready Standing
On top
16
Have- Climbed (Perfect)
Energy Ready Standing
On top
17
Tense and Reference Time
  • Tense is defined by the location of reference
    time relative to speech time in the traditional
    (Reichenbach-based) view
  • Past tense E,R lt S
  • Present tense E,R,S
  • In Simulation Semantics, R is a state of the
    controller schema.
  • The location of R relative to S is captured by a
    time-depth representation called a sampling set
  • Present single state
  • Past two states (onset and offset)
  • The final or unique state is the state of
    knowledge at S.

18
Aspect and Reference Time
  • In Simulation Semantics, direction of inclusion
    is represented by the presence or absence of a
    transition between pre- and post-states in the
    sampling set.
  • In the case of the present tense, there is only
    one state in the sampling set.
  • Only states can be verified on the basis of a
    single temporal sample.
  • Therefore, present-tense reports are state
    reports.

19
Aspect and Reference Time
  • The sampling set for the past tense may include a
    transition between the two states.
  • The presence or absence of this transition
    captures the difference between perfective and
    imperfective past
  • Perfective Pat was in Cleveland yesterday for
    the trade show. (yesterday includes offset
    transition)
  • Imperfective Pat was in Cleveland yesterday, and
    in fact has been there all month. (yesterday does
    not include an offset transition)
  • The perfective and imperfective schemas are not
    alternate event types, nor are they alternate
    construals of a single situation they are sets
    of sets of places within the controller schema.

20
Aspectually Sensitive Past Tenses
Perfective
Imperfective
21
Aspectually Sensitive Past Tenses
Perfective
Imperfective
22
Type-Shifting Revisited
  • In Simulation Semantics, a stative type shift is
    selection of a state of the controller.
  • The combination of controller and base x-schema
    can (a) augment, (b) embed or (c) select a part
    of the base x-schema
  • Augmentation State ? inchoative state, e.g.,
    Suddenly, I knew the answer.
  • Embedding Event ? iterated event ? habitual
    state, e.g., She runs.
  • Selection Inchoative ? state, e.g., Your soup is
    cooled.
  • Additional examples present-tense coercion,
    progressive type-shifting, continuative perfect
    type-shifting.

23
Habituality
  • Habitual situations, e.g., Jan ran, count as
    events, just like iterated actions, e.g., Jan
    paced back and forth.
  • Habituals are therefore not intrinsically
    stative they are events embedded in an iterate
    schema

iterate
24
Stative Coercion
  • Habituals become stative solely by virtue of
    being embedded in the stative process schema.
  • This schema can be selected by the present tense.

present
ongoing
25
Conclusion
  • In Simulation Semantics, tense and aspect are
    represented in a uniform manner.
  • Rather than Aktionsart plus a time line and
    perspective, we have combination of simulations.
  • Combinations model iteration, the selection of
    subparts and augmentation of schemas.
  • Using these mechanisms, we account for
    tense-based coercions, e.g., stative coercion via
    present tense.
  • How do we build ECG representations for tense
    inflections that abstract over the various
    morphological instantiations of tense
    (affixation, suppletion, etc.)?
  • Can we assume that English, like Romance, has
    both state- and event-selecting past tenses?
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