Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Data selection techniques"'
Autor:
Wuebker, Joern, Ney, Hermann, Martínez-Villaronga, Adrià, Giménez Pastor, Adrián, Juan Císcar, Alfonso, Servan, Christophe, Dymetman, Marc, Mirkin, Shashar
Publikováno v:
The eleventh biennial conference of the Association for Machine Translation in the Americas (AMTA-2014)
The eleventh biennial conference of the Association for Machine Translation in the Americas (AMTA-2014), AMTA, Oct 2014, Vancouver, Canada
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
The eleventh biennial conference of the Association for Machine Translation in the Americas (AMTA-2014), AMTA, Oct 2014, Vancouver, Canada
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] For the task of online translation of scientific video lectures, using huge models is not possible. In order to get smaller and efficient models, we perform data selection. In this paper, we perform a qualitative and quantitative comparison of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b40b33ab75f4c8cd7228cbbd5c6cd0a0
https://hal.archives-ouvertes.fr/hal-01157888/file/paperAMTA.pdf
https://hal.archives-ouvertes.fr/hal-01157888/file/paperAMTA.pdf
Autor:
Gascó Mora, Guillem, Rocha Sánchez, Martha Alicia, Sanchis Trilles, Germán, Andrés Ferrer, Jesús, Casacuberta Nolla, Francisco
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
Nowadays, there are large amounts of data available to train statistical machine translation systems. However, it is not clear whether all the training data actually help or not. A system trained on a subset of such huge bilingual corpora might outpe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::49c7fd693791af682de47316f0de3c48
http://hdl.handle.net/10251/35214
http://hdl.handle.net/10251/35214