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1
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
In: Computer Science: Faculty Publications and Other Works (2020)
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2
Towards High-End Scalability on Bio-Inspired Computational Models
In: Computer Science: Faculty Publications and Other Works (2020)
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3
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
Dematties, Dario; Rizzi, Silvio; Thiruvathukal, George K.. - : Frontiers Media S.A., 2020
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4
Grammar emergence in cortical dynamics, a computational approach ...
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A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
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A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
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A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
Abstract: The file Corpora.txt keeps the corpus used to train the model and the different instances of the classifier. It is basically a text file with one sentence per line from the original corpus called test.tsv available at https://github.com/google-research-datasets/wiki-split.git. We eliminated punctuation marks and special characters from the original file putting each sentence per line. Enju_Output.txt holds the outputs generated by Enju in -so mode (Output in stand-off format) using Corpora.txt as input. This file has basically a natural language English per-sentence parse with a wide-coverage probabilistic for HPSG grammar. The file Supervision.txt keeps the grammatical tags of the corpus. This file holds a tag per word and each tag is situated in a single line. Sentences are separated by one empty line while tags from words in the same sentence are located in adjacent lines. The file Word_Category.txt carries the coarse-grained word category information needed by the model and introduced in it by apical ...
Keyword: bioinspired computational models; brain-inspired artificial neural networks; computational linguistics; cortical dynamics; grammar classification; grammar emergence; natural language processing; online sentence processing; semantic clustering; unsupervised learning
URL: https://zenodo.org/record/3653180
https://dx.doi.org/10.5281/zenodo.3653180
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8
neurophon/neurophon: Release for PLOS submission ...
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neurophon/neurophon: Minor update to ensure future updates include Zenodo author/keyword metadata ...
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10
neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
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11
neurophon/neurophon: Prerelease ...
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12
neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ...
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13
Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM)
In: Computer Science: Faculty Publications and Other Works (2019)
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14
Neurocomputational cortical memory for spectro-temporal phonetic abstraction.
In: Computer Science: Faculty Publications and Other Works (2019)
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15
Phonetic acquisition in cortical dynamics, a computational approach
In: Computer Science: Faculty Publications and Other Works (2019)
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16
Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM). ...
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17
Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM). ...
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18
Phonetic acquisition in cortical dynamics, a computational approach
Dematties, Dario; Rizzi, Silvio; Thiruvathukal, George K.. - : Public Library of Science, 2019
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19
A Multi-Platform Application Suite for Enhancing South Asian Language Pedagogy
In: Computer Science: Faculty Publications and Other Works (2003)
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