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Listar por palabra clave "Domain adaptation"

Mostrando ítems 1-8 de 8

Adaptarse o morir: Revisión de técnicas de Supervised Domain Adaptation para clasificación de imágenes

Baggetto Chamero, José Pablo (Universitat Politècnica de València, 2023-10-06)

[ES] La adaptación de dominio supervisada (SDA) es una técnica de aprendizaje automático que tiene como objetivo mejorar el rendimiento de los modelos de predicción en situaciones en las que los datos de entrenamiento y ...
Advanced techniques for domain adaptation in Statistical Machine Translation

Chinea Ríos, Mara (Universitat Politècnica de València, 2019-03-04)

[ES] La Traducción Automática Estadística es un sup-campo de la lingüística computacional que investiga como emplear los ordenadores en el proceso de traducción de un texto de un lenguaje humano a otro. La traducción ...
An Empirical Analysis of Data Selection Techniques in Statistical Machine Translation

Chinea Ríos, Mara; Sanchis Trilles, Germán; Casacuberta Nolla, Francisco (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2015-09)

[EN] Domain adaptation has recently gained interest in statistical machine translation. One of the adaptation techniques is based in the selection data. Data selection aims to select the best subset of the bilingual ...
Domain adaptation problem in statistical machine translation systems

Chinea Ríos, Mara; Sanchis Trilles, Germán; Casacuberta Nolla, Francisco (IOS Press, 2015)

Globalization suddenly brings many people from different country to interact with each other, requiring them to be able to speak several languages. Human translators are slow and expensive, we find the necessity of developing ...
Efficient domain adaptation techniques for hybrid automatic speech recognition systems

Santamaría Jordá, Jaume (Universitat Politècnica de València, 2023-09-28)

[ES] El reconeixement automàtic de la parla (Automatic Speech Recognition, ASR) és una tasca de processament del llenguatge natural molt activa en l'àrea de la intel·ligència artificial, amb moltes aplicacions primàries i ...
Interactive post-editing in machine translation

Domingo Ballester, Miguel (Universitat Politècnica de València, 2016-05-17)

[EN] The current state of the art in Machine Translation (MT) is far from being good enough, with a post-process carried out by a human agent being necessary in many cases in order to correct translations. Statistical ...
Masking domain-specific information for cross-domain deception detection

Sánchez-Junquera, Javier; Villaseñor-Pineda, Luis; Montes-y-Gómez, Manuel; Rosso, Paolo; Stamatatos, Efstathios (Elsevier, 2020-07)

[EN] The facilities provided by social media and computer-mediated communication make easy the dissemination of deceptive behavior, after which different entities or people could be affected. The deception detection by ...
Online Learning for Effort Reduction in Interactive Neural Machine Translation

Peris-Abril, Álvaro; Casacuberta Nolla, Francisco (Elsevier, 2019-11)

[EN] Neural machine translation systems require large amounts of training data and resources. Even with this, the quality of the translations may be insufficient for some users or domains. In such cases, the output of the ...