In this paper we describe MARIE, an Ngram-based statistical machine translation decoder. It is implemented using a beam search strategy, with distortion (or reordering) capabilities. The underlying tr...
This paper presents a reordering framework for statistical machine translation (SMT) where source-side reorderings are integrated into SMT decoding, allowing for a highly constrained reordered search ...
In Statistical Machine Translation, the use of reordering for certain language pairs can produce a significant improvement on translation accuracy. However, the search problem is shown to be NP-hard w...
This paper introduces a rule-based classification of single-word and compound verbs into a statistical machine translation approach. By substituting verb forms by the lemma of their head verb, the dat...
This work presents translation results for the three data sets made available in the shared task ?Exploiting Parallel Texts for Statistical Machine Translation ? of the HLT-NAACL 2006 Workshop on Stat...
X-grams are a generalization of the n-grams, where the number of previous conditioning words is different for each case and decided from the training data. X-grams reduce perplexity with respect to tr...
. In EuroSpeech'95, we presented the first version of Sethos, the speech understanding system which has been developed at the UPC. In this paper some improvements are incorporated at different levels ...