Peris Abril, Álvaro; Casacuberta Nolla, Francisco(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2015-09)
[EN] A language model based in continuous representations of words is presented,
which has been applied to a statistical machine translation task. This model
is implemented by means of a bidirectional recurrent neural ...
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 ...
Zamora Martínez, Francisco Julián(Universitat Politècnica de València, 2012-12-07)
El procesamiento del lenguaje natural es un área de aplicación de la inteligencia artificial, en
particular, del reconocimiento de formas que estudia, entre otras cosas, incorporar información
sintáctica (modelo de lenguaje) ...
Andrés Ferrer, Jesús(Universitat Politècnica de València, 2011-11-28)
In this thesis we present a new estimation algorithm for statistical models which does not incurs in the over-trainning problems. This new estimation techinque, the so-called, constrained domain maximum likelihood estimation ...
[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 ...
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 ...
Zamora Martínez, Francisco Julián; Castro-Bleda, Maria Jose(World Scientific, 2018)
[EN] Neural Network Language Models (NNLMs) are a successful approach to Natural Language Processing tasks, such as Machine Translation. We introduce in this work a Statistical Machine Translation (SMT) system which fully ...
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 ...
Explicit length modelling has been previously explored in statistical pattern recognition with successful results. In this paper, two length models along with two parameter estimation methods for statistical machine ...
[EN] Explicit length modelling has been previously explored in statistical pattern recognition with successful
results. In this paper, two length models along with two parameter estimation methods and two
alternative ...
Silvestre Cerdà, Joan Albert; Garcia Martinez, Maria Mercedes; Barrón Cedeño, Luis Alberto; Civera Saiz, Jorge; Rosso ., Paolo(CEUR Workshop Proceedings, 2011)
[EN] This paper presents a proposal for extracting parallel corpora from Wikipedia on the basis of statistical machine translation techniques. We have used
word-level alignment models from IBM in order to obtain phrase-level ...
[EN] In this article, the first public release of GREAT as an open-source, statistical machine translation (SMT) software toolkit is described. GREAT is based on a bilingual language modelling approach for SMT, which is ...
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 ...
[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 ...
System combination has proved to be a successful technique in the
pattern recognition field. However, several difficulties arise when combining the
outputs of tasks, e.g. machine translation, that generate structured ...
Civera Saiz, Jorge(Universitat Politècnica de València, 2008-07-04)
Esta tesis presenta diversas contribuciones en los campos de la
clasificación automática de texto, traducción automática y traducción
asistida por ordenador bajo el marco estadístico.
En clasificación automática ...
González Rubio, Jesús(Universitat Politècnica de València, 2014-06-03)
Machine translation is a fundamental technology that is gaining more importance
each day in our multilingual society. Companies and particulars are
turning their attention to machine translation since it dramatically ...
New variations on the application of the passive-aggressive algorithm
to statistical machine translation are developed and compared to previously existing
approaches. In online adaptation, the system needs to adapt to ...
Sanchis Trilles, Germán(Universitat Politècnica de València, 2011-10-17)
This thesis presents two main contributions in the fields of Statistical Machine Translation and
Interactive Machine Translation.
In the field of Statistical Machine Translation, the efforts have been focused on obtaining ...