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Listar por autor "Chinea Ríos, Mara"

Mostrando ítems 1-9 de 9

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 ...
Discriminative ridge regression algorithm for adaptation in statistical machine translation

Chinea-Ríos, Mara; Sanchis-Trilles, Germán; Casacuberta Nolla, Francisco (Springer-Verlag, 2019-11)

[EN] We present a simple and reliable method for estimating the log-linear weights of a state-of-the-art machine translation system, which takes advantage of the method known as discriminative ridge regression (DRR). Since ...
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 ...
Estrategias de aprendizaje online de los pesos del modelo log-lineal en traducción automática interactiva

Chinea Ríos, Mara (Universitat Politècnica de València, 2014-03-14)

[ES] La intervención de los traductores humanos en un escenario de post-edición para corregir las traducciones obtenidas a partir de los sistemas de traducción automática es aún muy necesaria para lograr la calidad ...
Log-Linear Weight Optimization Using Discriminative Ridge Regression Method in Statistical Machine Translation

Chinea-Ríos, Mara; Sanchis Trilles, Germán; Casacuberta Nolla, Francisco (Springer-Verlag, 2017)

[EN] We present a simple and reliable method for estimating the log-linear weights of a state-of-the-art machine translation system, which takes advantage of the method known as discriminative ridge regression (DRR). Since ...
Sentence clustering using continuous vector space representation

Chinea Ríos, Mara; Sanchis Trilles, Germán; Casacuberta Nolla, Francisco (Springer International Publishing, 2015-06-09)

In this paper, we present a clustering approach based on the combined use of a continuous vector space representation of sentences and the k-means algorithm. The principal motivation of this proposal is to split a big ...
UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet

Basile, Angelo; Chinea-Ríos, Mara; Uban, Ana-Sabina; Müller, Thomas; Rössler, Luise; Yenikent, Seren; Chulvi-Ferriols, María Alberta; Rosso, Paolo; Franco-Salvador, Marc (CEUR, 2021-09-24)

[EN] This paper presents the contributions of the UPV-Symanto team, a collaboration between Symanto Research and the PRHLT Center, in the eRisk 2021 shared tasks on gambling addiction, self-harm detection and prediction ...
Vector sentences representation for data selection in statistical machine translation

Chinea-Rios, Mara; Sanchis Trilles, Germán; Casacuberta Nolla, Francisco (Elsevier, 2019-07)

[EN] One of the most popular approaches to machine translation consists in formulating the problem as a pattern recognition approach. Under this perspective, bilingual corpora are precious resources, as they allow for a ...