Documentation

Linglib.Theories.Semantics.Lexical.Verb.Aspect

Telicity: whether an event has a natural endpoint.

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      Duration: whether an event takes time or is instantaneous.

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          Dynamicity: whether the event involves change.

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              Telicity → MereoTag: telic = quantized. Telic predicates are QUA (no proper part of a telic event is telic); atelic predicates are CUM (the sum of two atelic events is atelic).

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                Vendler's four-way classification of eventualities.

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                    An aspectual profile bundles telicity, duration, and dynamicity.

                    • telicity : Telicity

                      Whether the eventuality has a natural endpoint

                    • duration : Duration

                      Whether the eventuality takes time

                    • dynamicity : Dynamicity

                      Whether the eventuality involves change

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                            Convert an aspectual profile to a Vendler class (semelfactives mapped to activity).

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                              Convert a Vendler class to its canonical aspectual profile.

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                                Canonical profile for states.

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                                  Canonical profile for activities.

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                                    Canonical profile for achievements.

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                                      Canonical profile for accomplishments.

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                                        Converting a Vendler class to a profile and back is identity.

                                        Telicize: add a natural endpoint to an atelic predicate.

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                                          Atelicize: remove the natural endpoint (progressive effect).

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                                            Duratize: stretch a punctual event over time (iterative).

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                                              Statify: convert to a stative reading.

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                                                Whether a predicate is homogeneous (has the subinterval property).

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                                                  Whether a VendlerClass predicts ATOM-DIST_t (@cite{zhao-2025}, Def. 5.3). States satisfy ATOM-DIST_t (distribute over temporal subintervals); dynamic classes do not. Stricter than isHomogeneous: activities are homogeneous but fail ATOM-DIST_t.

                                                  • Zhao, Z. (2025). Cross-Linguistic and Cross-Domain Temporal Expressions. NYU dissertation, Ch. 5.
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                                                    ATOM-DIST_t implies homogeneity (but not vice versa). Activities are homogeneous but do NOT satisfy ATOM-DIST_t — this is Zhao's point: ATOM-DIST_t discriminates states from activities, while the classical subinterval property does not.

                                                    ATOM-DIST_t prediction is the negation of dynamicity =.dynamic.