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Listar por autor "Ortiz Martínez, Daniel"

Mostrando ítems 1-13 de 13

Active learning for interactive machine translation

González Rubio, Jesús; Ortiz Martínez, Daniel; Casacuberta Nolla, Francisco (Association for Computational Linguistics, 2012)

Translation needs have greatly increased during the last years. In many situations, text to be translated constitutes an unbounded stream of data that grows continually with time. An effective approach to translate text ...
Advances in Fully-Automatic and Interactive Phrase-Based Statistical Machine Translation

Ortiz Martínez, Daniel (Universitat Politècnica de València, 2011-10-14)

This thesis presents different contributions in the fields of fully-automatic statistical machine translation and interactive statistical machine translation. In the field of statistical machine translation there are ...
Balancing User Effort and Translation Error in Interactive Machine Translation Via Confidence Measures

González-Rubio, Jesús; Ortiz-Martinez, Daniel; Casacuberta Nolla, Francisco (Association for Computational Linguistics, 2010-07-11)

[EN] This work deals with the application of confidence measures within an interactive-predictive machine translation system in order to reduce human effort. If a small loss in translation quality can be tolerated for the ...
CASMACAT: An open source workbench for advanced computer aided translation

Alabau, Vicent; Bonkb, Ragnar; Buck, Christian; Carlb, Michael; Casacuberta Nolla, Francisco; García-Martínez, Mercedes; Gonzalez Rubio, Jesus; Koehn, Philipp; Leiva Torres, Luis Alberto; Mesa-Lao, Bartolomé; Ortiz Martínez, Daniel; Saint-Amand, Herve; Sanchis Trilles, Germán; Tsoukalac, Chara (De Gruyter Open, 2013-10)

[EN] We describe an open source workbench that offers advanced computer aided translation (CAT) functionality: post-editing machine translation (MT), interactive translation prediction (ITP), visualization of word alignment, ...
Incremental and Adaptive Learning for Interactive Machine Translation

Toselli, Alejandro Héctor; Vidal, Enrique; Casacuberta, Francisco; Ortiz Martínez, Daniel; García Varea, Ismael (Springer, 2011)

[EN] High-quality translation between any pair of languages can be achieved by human post-editing of the outputs of a MT system or by following the Interactive Machine Translation (IMT) approach. In the interactive pattern ...
Interactive Machine Translation

Toselli, Alejandro Héctor; Vidal, Enrique; Casacuberta, Francisco; Civera Saiz, Jorge; González Rubio, Jesús; Ortiz-Martínez, Daniel (Springer, 2011)

[EN] Achieving high-quality translation between any pair of languages is not possible with the current Machine-Translation (MT) technology a human post-editing of the outputs of the MT system being necessary. Therefore, ...
Interactive Machine Translation using Hierarchical Translation Model

González-Rubio, Jesús; Ortiz-Martínez, Daniel; Benedí Ruiz, José Miguel; Casacuberta Nolla, Francisco (Association for Computational Linguistics, 2013-10-21)

[EN] Current automatic machine translation systems are not able to generate error-free translations and human intervention is often required to correct their output. Alternatively, an interactive framework that integrates ...
Interactive translation prediction versus conventional post-editing in practice: a study with the CasMaCat workbench

Sanchis Trilles, Germán; Alabau, Vicent; Buck, Christian; Carl, Michael; Casacuberta Nolla, Francisco; Garcia Martinez, Maria Mercedes; Germann, Ulrich; González Rubio, Jesús; Hill, Robin L.; Kohen, Philipp; Leiva Torres, Luis Alberto; Mesa Lao, Bartolomé; Ortiz Martínez, Daniel; Saint-Amand, Herve; Tsoukala, Chara; Vidal, Enrique (Springer Verlag (Germany), 2014-12)

[EN] We conducted a field trial in computer-assisted professional translation to compare interactive translation prediction (ITP) against conventional post-editing (PE) of machine translation (MT) output. In contrast to ...
On the effective deployment of current machine translation technology

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 ...
Online learning for interactive statistical machine translation

Ortiz-Martínez, Daniel; García-Varea, Ismael; Casacuberta Nolla, Francisco (Association for Computational Linguistics, 2010-06-06)

[EN] State-of-the-art Machine Translation (MT) systems are still far from being perfect. An alternative is the so-called Interactive Machine Translation (IMT) framework. In this framework, the knowledge of a human translator ...
The New THOT Toolkit for Fully-Automatic and Interactive Statistical Machine Translation

Ortiz-Martínez, Daniel; Casacuberta Nolla, Francisco (The Association for Computational Linguistics, 2014-04-30)

[EN] We present the new THOT toolkit for fullyautomatic and interactive statistical machine translation (SMT). Initial public versions of THOT date back to 2005 and did only include estimation of phrase-based models. By ...
Translating without In-domain Corpus: Machine TranslationPost-Editing with Online Learning Techniques

Lagarda Arroyo, Antonio Luís; Ortiz Martínez, Daniel; Alabau, V.; Casacuberta Nolla, Francisco (Elsevier, 2015-07)

[EN] Globalization has dramatically increased the need of translating information from one language to another. Frequently, such translation needs should be satisfied under very tight time constraints. Machine translation ...
Translation rescoring through recurrent neural network language models

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, ...