Theoretical Implications of Object Clitic Omission in Early French: Spontaneous vs. Elicited Production [PDF]
This article examines the phenomenon of object clitic omission in French. Previous research con- tains contradictory results depending on the source of the data: it seems that in spontaneous pro- duction children prefer DPs while in elicited production ...
Mihaela Pirvulescu
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Improving language mapping in clinical fMRI through assessment of grammar [PDF]
Introduction: Brain surgery in the language dominant hemisphere remains challenging due to unintended post-surgical language deficits, despite using pre-surgical functional magnetic resonance (fMRI) and intraoperative cortical stimulation.
Monika Połczyńska+9 more
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Process grammar and process history for 2D objects
This project is the written report for the course in Picture Processing at the Department of Computer Science, Aarhus University. The starting point is a paper by Michael Leyton in Artificial Intelligence 34, 1988: "A process grammar for shape". The paper describes how it is possible to derive the process history for an object from its state at two ...
Thomas W. Larsen, Brian H. Mayoh
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Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories [PDF]
We introduce a Probabilistic Grammar-Markov Model (PGMM) which couples probabilistic context free grammars and Markov Random Fields. These PGMMs are generative models defined over attributed features and are used to detect and classify objects in natural images.
Long Zhu, Yuanhao Chen, Alan Yuille
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Scene semantics affects allocentric spatial coding for action in naturalistic (virtual) environments [PDF]
Interacting with objects in our environment requires determining their locations, often with respect to surrounding objects (i.e., allocentrically). According to the scene grammar framework, these usually small, local objects are movable within a scene ...
Bianca R. Baltaretu+3 more
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Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing [PDF]
We describe an unsupervised method for learning a probabilistic grammar of an object from a set of training examples. Our approach is invariant to the scale and rotation of the objects. We illustrate our approach using thirteen objects from the Caltech 101 database.
Long Zhu, Yuanhao Chen, Alan Yuille
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Grammar and the Formal Identity of Name and Object
In this paper, I will be arguing that the basic infrastructure of an ineffable formal identity between name and object which is presented in the Tractatus is still very much involved in Wittgenstein's early development of the concept of grammar.
Tal Ben-Itzhak
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Object classification based on a geometric grammar with a range camera [PDF]
This paper proposes an object classification framework based on a geometric grammar aimed for mobile robotic applications. The paper first discusses the geometric grammar as a compact representation form for object categories with primitive parts as its constituent elements.
Jiwon Shin+4 more
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Formal Verification of Object-Oriented Graph Grammars Specifications
AbstractConcurrent object-oriented systems are ubiquitous due to the importance of networks and the current demands for modular, reusable, and easy to develop software. However, checking the correctness of such systems is a hard task, mainly due to concurrency and inheritance aspects.
Ana Paula Lüdtke Ferreira+2 more
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Grammar in Language and Listening Acquisition
The existence and self-realization of humans are possible due to language, language faculty, and listening acquisition. Anything animate or inanimate perceived in the external world such as an object, phenomenon, entity, etc.
Ahmet Akkaya, İbrahim Doyumğaç
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