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On the Derivational Entropy of Left-to-Right Probabilistic Finite-State Automata and Hidden Markov Models

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On the Derivational Entropy of Left-to-Right Probabilistic Finite-State Automata and Hidden Markov Models

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Sánchez Peiró, JA.; Rocha, MA.; Romero, V.; Villegas, M. (2018). On the Derivational Entropy of Left-to-Right Probabilistic Finite-State Automata and Hidden Markov Models. Computational Linguistics. 44(1):17-37. https://doi.org/10.1162/COLI_a_00306

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/133558

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Title: On the Derivational Entropy of Left-to-Right Probabilistic Finite-State Automata and Hidden Markov Models
Author: Sánchez Peiró, Joan Andreu Rocha, M. A. Romero, Verónica Villegas, Mauricio
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Probabilistic finite-state automata are a formalism that is widely used in many problems of automatic speech recognition and natural language processing. Probabilistic finite-state automata are closely related to other ...[+]
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Computational Linguistics. (issn: 0891-2017 )
DOI: 10.1162/COLI_a_00306
Publisher:
MIT Press
Publisher version: https://doi.org/10.1162/COLI_a_00306
Project ID: info:eu-repo/grantAgreement/EC/H2020/674943/EU
Thanks:
This work has been partially supported through the European Union's H2020 grant READ (Recognition and Enrichment of Archival Documents) (Ref: 674943) and the MINECO/FEDER-UE project TIN2015-70924-C2-1-R. The second author ...[+]
Type: Artículo

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