2021
DOI: 10.1007/s11525-021-09386-6
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CAOSS and transcendence: Modeling role-dependent constituent meanings in compounds

Abstract: Many theories on the role of semantics in morphological representation and processing focus on the interplay between the lexicalized meaning of the complex word on the one hand, and the individual constituent meanings on the other hand. However, the constituent meaning representations at play do not necessarily correspond to the free-word meanings of the constituents: Role-dependent constituent meanings can be subject to sometimes substantial semantic shift from their corresponding free-word meanings (such as … Show more

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Cited by 10 publications
(16 citation statements)
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“…Furthermore, the model has been employed to detect automatic meaning-combination effects during the processing of novel compounds , and to demonstrate that semantic transparency effects during the processing of familiar compounds should also be attributed to such active meaningcomposition processes . It even allows us to empirically investigate and account for phenomena that have been notoriously hard to capture using other approaches, such as the systematic semantic shift experienced by some words when they are used as compound constituents (Günther & Marelli, 2021), or a language-invariant mechanism of compounding by being able to partially predict compound meanings in one language from a CAOSS model trained on another language (Günther & Marelli, 2018). Taken together, these studies also show that compositional distributional models have been evaluated using a wider range of methods and data than just by comparing human judgments to distributional similarities, which is the only class of phenomena that Lake and Murphy (2021) picked out when reviewing the current empirical status of these models.…”
Section: Novel Combinationsmentioning
confidence: 99%
“…Furthermore, the model has been employed to detect automatic meaning-combination effects during the processing of novel compounds , and to demonstrate that semantic transparency effects during the processing of familiar compounds should also be attributed to such active meaningcomposition processes . It even allows us to empirically investigate and account for phenomena that have been notoriously hard to capture using other approaches, such as the systematic semantic shift experienced by some words when they are used as compound constituents (Günther & Marelli, 2021), or a language-invariant mechanism of compounding by being able to partially predict compound meanings in one language from a CAOSS model trained on another language (Günther & Marelli, 2018). Taken together, these studies also show that compositional distributional models have been evaluated using a wider range of methods and data than just by comparing human judgments to distributional similarities, which is the only class of phenomena that Lake and Murphy (2021) picked out when reviewing the current empirical status of these models.…”
Section: Novel Combinationsmentioning
confidence: 99%
“…The morphological transcendence hypothesis (Libben, 2014), the updating mechanism proposed by Günther and Marelli (2021), and the notion of semantic diversity (e.g., Hoffman et al, 2011), potentially explain the priming asymmetry between Experiments 2 ( seabird – ocean ) and 4 ( ocean – seabird ). In Experiment 2, where the compound is the prime, the semantic information of the constituent (SEA+) may be narrower, or shifted away from the associate, than the semantic information of its whole-word counterpart (SEA).…”
Section: Discussionmentioning
confidence: 99%
“…Of course, this proliferation is further increased when one considers other meaning families of board and their roles within compound words (e.g., whiteboard and blackboard; chessboard and checkerboard; leaderboard, etc.). Günther and Marelli (2021) present an implemented computational system to represent role-dependent constituent phenomena and to test the predictions of morphological transcendence. The behavior of the system supports many of the predictions of transcendence and also reveals new system-based phenomena.…”
Section: Lexical Action Creates Morphological Transcendence: Compound...mentioning
confidence: 99%
“…Günther and Marelli ( 2021 ) present an implemented computational system to represent role-dependent constituent phenomena and to test the predictions of morphological transcendence. The behavior of the system supports many of the predictions of transcendence and also reveals new system-based phenomena.…”
Section: Lexical Action Creates Morphological Transcendence: Compound...mentioning
confidence: 99%
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