Zobrazeno 1 - 10
of 281
pro vyhledávání: '"Berwick, Robert"'
Autor:
Drammis, Sabrina, Zheng, Bowen, Srinivasan, Karthik, Berwick, Robert C., Lynch, Nancy A., Ajemian, Robert
A feedforward neural network using rectified linear units constructs a mapping from inputs to outputs by partitioning its input space into a set of convex regions where points within a region share a single affine transformation. In order to understa
Externí odkaz:
http://arxiv.org/abs/2403.00860
We extend our formulation of Merge and Minimalism in terms of Hopf algebras to an algebraic model of a syntactic-semantic interface. We show that methods adopted in the formulation of renormalization (extraction of meaningful physical values) in theo
Externí odkaz:
http://arxiv.org/abs/2311.06189
In this paper we compare some old formulations of Minimalism, in particular Stabler's computational minimalism, and Chomsky's new formulation of Merge and Minimalism, from the point of view of their mathematical description in terms of Hopf algebras.
Externí odkaz:
http://arxiv.org/abs/2306.10270
The syntactic Merge operation of the Minimalist Program in linguistics can be described mathematically in terms of Hopf algebras, with a formalism similar to the one arising in the physics of renormalization. This mathematical formulation of Merge ha
Externí odkaz:
http://arxiv.org/abs/2305.18278
Autor:
Korsky, Samuel A., Berwick, Robert C.
Recent neural network architectures such as the basic recurrent neural network (RNN) and Gated Recurrent Unit (GRU) have gained prominence as end-to-end learning architectures for natural language processing tasks. But what is the computational power
Externí odkaz:
http://arxiv.org/abs/1906.06349
Autor:
Sennhauser, Luzi, Berwick, Robert C.
Publikováno v:
Proceedings of the EMNLP Workshop BlackboxNLP (2018) 115-124
While long short-term memory (LSTM) neural net architectures are designed to capture sequence information, human language is generally composed of hierarchical structures. This raises the question as to whether LSTMs can learn hierarchical structures
Externí odkaz:
http://arxiv.org/abs/1811.02611
We consider two different data sets of syntactic parameters and we discuss how to detect relations between parameters through a heat kernel method developed by Belkin-Niyogi, which produces low dimensional representations of the data, based on Laplac
Externí odkaz:
http://arxiv.org/abs/1803.09832
Using Phylogenetic Algebraic Geometry, we analyze computationally the phylogenetic tree of subfamilies of the Indo-European language family, using data of syntactic structures. The two main sources of syntactic data are the SSWL database and Longobar
Externí odkaz:
http://arxiv.org/abs/1712.01719