Articles

In this paper we report on experiments with three preprocessing strategies for im- proving translation output in a statistical MT system. In training, two reordering strategies were studied: (i) reorder on the basis of the alignments from Giza++, and (ii) reorder by moving all verbs to the end of segments. …...

We present the Johns Hopkins Univer- sity submission to the 2010 WMT shared translation task. We describe processing steps using open data and open source software used in our submission, and pro- vide the scripts and configurations re- quired to train, tune, and test our machine translation system. 1...

In this paper, the system submitted by the PRHLT group for the Fifth Work- shop on Statistical Machine Translation of ACL2010 is presented. On this evalua- tion campaign, we have worked on the English–Spanish language pair, putting special emphasis on two problems derived from the large amount of data available. …...

We explore the possibility of using Stochastic Bracketing Linear Inversion Transduction Grammars for a full-scale German–English translation task, both on their own and in conjunction with align- ments induced with GIZA++. The ratio- nale for transduction grammars, the details of the system and some results are pre- sented. 1...

This paper describes the system submit- ted by the Laboratory of Informatics of Grenoble (LIG) for the fifth Workshop on Statistical Machine Translation. We participated to the news shared transla- tion task for the French-English language pair. We investigated differents techniques to simply deal with Out-Of-Vocabulary words in a statistical …...

This paper describes the Cambridge Uni- versity Engineering Department submis- sion to the Fifth Workshop on Statistical Machine Translation. We report results for the French-English and Spanish-English shared translation tasks in both directions. The CUED system is based on HiFST, a hierarchical phrase-based decoder imple- mented using weighted finite-state trans- …...

This paper describes the DCU machine translation system in the evaluation cam- paign of the Joint Fifth Workshop on Sta- tistical Machine Translation and Metrics in ACL-2010. We describe the modular design of our multi-engine machine trans- lation (MT) system with particular focus on the components used in this partici- …...

We describe the progress we have made in the past year on Joshua (Li et al., 2009a), an open source toolkit for parsing based machine translation. The new functional- ity includes: support for translation gram- mars with a rich set of syntactic nonter- minals, the ability for external modules to …...

NRC’s Portage system participated in the Eng- lish-French (E-F) and French-English (F-E) translation tasks of the ACL WMT 2010 eval- uation. The most notable improvement over earlier versions of Portage is an efficient im- plementation of lattice MERT. While Portage has typically performed well in Chinese to English MT evaluations, …...

We report on efforts to build large-scale translation systems for eight European language pairs. We achieve most gains from the use of larger training corpora and basic modeling, but also show promising results from integrating more linguistic an- notation. 1...

We describe our system for the translation task of WMT 2010. This system, devel- oped for the English-French and French- English directions, is based on Moses and was trained using only the resources sup- plied for the workshop. We report exper- iments to enhance it with out-of-domain parallel corpora sub-sampling, …...

In this paper we describe the statisti- cal machine translation system of the RWTH Aachen University developed for the translation task of the Fifth Workshop on Statistical Machine Translation. State- of-the-art phrase-based and hierarchical statistical MT systems are augmented with appropriate morpho-syntactic en- hancements, as well as alternative phrase training …...

This paper describes our phrase-based Sta- tistical Machine Translation (SMT) sys- tem for the WMT10 Translation Task. We submitted translations for the German to English and English to German transla- tion tasks. Compared to state-of-the-art phrase-based systems we preformed addi- tional preprocessing and used a discrim- inative word alignment approach. …...

This paper describes the development of French–English and English–French ma- chine translation systems for the 2010 WMT shared task evaluation. These sys- tems were standard phrase-based statisti- cal systems based on the Moses decoder, trained on the provided data only. Most of our efforts were devoted to the choice and …...

We describe our hybrid machine trans- lation system which has been developed for and used in the WMT10 shared task. We compute translations from a rule- based MT system and combine the re- sulting translation “templates” with par- tial phrases from a state-of-the-art phrase- based, statistical MT engine. Phrase sub- …...

This paper describes the system we devel- oped to improve German-English transla- tion of News text for the shared task of the Fifth Workshop on Statistical Machine Translation. Working within cdec, an open source modular framework for ma- chine translation, we explore the benefits of several modifications to our hierarchical …...

This paper describes the 2010 phrase-based statistical machine translation system de- veloped at the TALP Research Center of the UPC1 in cooperation with BMIC2 and VMU3. In phrase-based SMT, the phrase table is the main tool in translation. It is created extracting phrases from an aligned parallel corpus and then …...

This paper describes a statistical machine translation system for our participation for the WMT10 shared task. Based on MOSES, our system is capable of translat- ing German, French and Spanish into En- glish. Our main contribution in this work is about effective parameter tuning. We discover that there is a …...

The paper describes our experiments with English-Czech machine translation for WMT101 in 2010. Focusing primarily on the translation to Czech, our additions to the standard Moses phrase-based MT pipeline include two-step translation to overcome target-side data sparseness and optimization towards SemPOS, a metric better suited for evaluating Czech. Unfor- tunately, …...

This paper presents a fast consensus hy- pothesis regeneration approach for ma- chine translation. It combines the advan- tages of feature-based fast consensus de- coding and hypothesis regeneration. Our approach is more efficient than previous work on hypothesis regeneration, and it explores a wider search space than con- sensus decoding, …...