Add to ORKGMejor artículo 2009 publicado en una revista internacional firmado en primer lugar por un joven investigador de una universidad española; otorgado por la Red Temática de Temática de Tecnologías del HablaThis paper describes in detail a novel approach to the reordering challenge in statistical machine translation (SMT). This Ngram-based reordering (NbR) approach uses the powerful techniques of SMT systems to generate a weighted reordering graph. Thus, statistical criteria reordering constraints are supplied to an SMT system, and this allows an extension to the SMT decoding search. The NbR approach is capable of generalizing reorderings that have been learned during training, through the use of word classes instead of words themselves. Improv...
Machine translation is a challenging task that its difficulties arise from several characteristics o...
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpor...
Abstract In this paper we describe an elegant and efficient approach to coupling reor-dering and dec...
Mejor artículo 2009 publicado en una revista internacional firmado en primer lugar por un joven inve...
This paper describes the 2007 Ngram-based sta-tistical machine translation system developed at the T...
Los errores debidos al cambio de orden de las palabras son uno de los principales retos en los siste...
One main challenge of statistical machine translation (SMT) is dealing with word order. The main ide...
One main challenge of statistical machine trans-lation (SMT) is dealing with word order. The main id...
In Statistical Machine Translation, the use of reordering for certain language pairs can pro-duce a ...
In Statistical Machine Translation, the use of reordering for certain language pairs can produce a s...
As statistical machine translation (SMT) systems strive to improve the translation quality they are ...
This work presents translation results for the three data sets made available in the shared task Exp...
This paper presents a reordering frame-work for statistical machine translation (SMT) where source-s...
This paper surveys several state-of-the-art reordering techniques employed in Statistical Machine Tr...
This paper addresses the problem of word re-ordering in statistical machine translation. We follow a...
Machine translation is a challenging task that its difficulties arise from several characteristics o...
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpor...
Abstract In this paper we describe an elegant and efficient approach to coupling reor-dering and dec...
Mejor artículo 2009 publicado en una revista internacional firmado en primer lugar por un joven inve...
This paper describes the 2007 Ngram-based sta-tistical machine translation system developed at the T...
Los errores debidos al cambio de orden de las palabras son uno de los principales retos en los siste...
One main challenge of statistical machine translation (SMT) is dealing with word order. The main ide...
One main challenge of statistical machine trans-lation (SMT) is dealing with word order. The main id...
In Statistical Machine Translation, the use of reordering for certain language pairs can pro-duce a ...
In Statistical Machine Translation, the use of reordering for certain language pairs can produce a s...
As statistical machine translation (SMT) systems strive to improve the translation quality they are ...
This work presents translation results for the three data sets made available in the shared task Exp...
This paper presents a reordering frame-work for statistical machine translation (SMT) where source-s...
This paper surveys several state-of-the-art reordering techniques employed in Statistical Machine Tr...
This paper addresses the problem of word re-ordering in statistical machine translation. We follow a...
Machine translation is a challenging task that its difficulties arise from several characteristics o...
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpor...
Abstract In this paper we describe an elegant and efficient approach to coupling reor-dering and dec...