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 ...
Peris, Álvaro; Casacuberta Nolla, Francisco(Association for Computational Linguistics, 2019-08-02)
[EN] We present a demonstration of a neural interactive-predictive system for tackling mul-
timodal sequence to sequence tasks. The system generates text predictions to different sequence to sequence tasks: machine ...
Cebrián Chuliá, Luis(Universitat Politècnica de València, 2017-09-04)
[EN] High quality translations are in high demand these days. Although machine
translation offers acceptable performance, it is not sufficient in some cases and
human supervision is required. In order to ease the translation ...
Peris Abril, Álvaro(Universitat Politècnica de València, 2016-07-29)
[EN] Classically, statistical machine translation relied on representations of words in a
discrete space. Words and phrases were atomically represented as indices in a
vector. In the last years, techniques for representing ...
[EN] We introduce a demonstration of our system, which implements online learning for neural
machine translation in a production environment. These techniques allow the system to
continuously learn from ...
[EN] Egocentric vision consists in acquiring images along the day from a first person point-of-view using wearable cameras. The automatic analysis of this information allows to discover daily patterns for improving the ...
Despite the promising results achieved in last years by statistical machine translation, and more precisely, by the neural
machine translation systems, this technology is still not error-free. The outputs of a machine ...
Navarro Martínez, Ángel(Universitat Politècnica de València, 2020-10-14)
[EN] The state of the art in machine translation is not good enough to be able to
guarantee high quality translations at all times. In some fields, it is necessary
to always obtain error-free translations, and the tendency ...
[EN] Despite the advances achieved by neural models in sequence
to sequence learning, exploited in a variety of tasks, they still make errors.
In many use cases, these are corrected by a human expert in a posterior
revision ...
Peris Abril, Álvaro(Universitat Politècnica de València, 2020-01-07)
[ES] El problema conocido como de secuencia a secuencia consiste en transformar una secuencia de entrada en una secuencia de salida. Bajo esta perspectiva se puede atacar una amplia cantidad de problemas, entre los cuales ...
[EN] We present NMT-Keras, a flexible toolkit for training deep learning models, which puts a particular emphasis on the development of advanced applications of neural machine translation systems, such as interactive-predictive ...
[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 ...
Montalvá Minguet, Kevin(Universitat Politècnica de València, 2017-02-13)
[EN] Machine Translation systems have been used since their inception by professional
translators to speed up and ease their work. Those systems receive professionally edited
translations through their use, which could ...
Verdeguer Gómez, Jorge(Universitat Politècnica de València, 2021-01-12)
[ES] En este trabajo se va a abordar el problema de clasificación y segmentación de imagen médica mediante el uso de redes neuronales. En concreto, las imágenes han sido tomadas para casos de cáncer de piel. Una vez explorado ...
[EN] Machine translation systems require human revision to obtain high-quality translations. Interactive methods provide an efficient human¿computer collaboration, notably increasing productivity. Recently, new interactive ...
Casacuberta Nolla, Francisco; Peris-Abril, Álvaro(Universitat Autonoma de Barcelona, 2017)
[EN] From the outset, automatic translation was dominated by systems based on linguistic
information, but then later other approaches opened up the way, such as translation
memories and statistical machine translation ...
Peris Abril, Álvaro(Universitat Politècnica de València, 2014-09-23)
This work is framed into the Statistical Machine Translation field,
more specifically into the language modeling challenge. In this area,
have classically predominated the n-gram approach, but, in the latest
years, ...