Articles

Domain adaptation has recently gained interest in statistical machine translation to cope with the performance drop ob- served when testing conditions deviate from training conditions. The basic idea is that in-domain training data can be ex- ploited to adapt all components of an al- ready developed system. Previous work showed …...

We describe the LIU systems for English- German and German-English translation in the WMT09 shared task. We focus on two methods to improve the word align- ment: (i) by applying Giza++ in a sec- ond phase to a reordered training cor- pus, where reordering is based on the alignments from …...

We describe two shared task systems and associated experiments. The German to English system used reordering rules ap- plied to parses and morphological split- ting and stemming. The English to Ger- man system used an additional translation step which recreated compound words and generated morphological inflection. 1...

We describe here the two Sys- tran/University of Edinburgh submissions for WMT2009. They involve a statistical post-editing model with a particular han- dling of named entities (English to French and German to English) and the extraction of phrasal rules (English to French). 1...

This paper describes the NICT statis- tical machine translation (SMT) system used for the WMT 2009 Shared Task (WMT09) evaluation. We participated in the Spanish-English translation task. The focus of this year’s participation was to in- vestigate model adaptation and transliter- ation techniques in order to improve the translation quality …...

This paper describes our Statistical Ma- chine Translation systems for the WMT09 (en:fr) shared task. For this evaluation, we have developed four systems, using two different MT Toolkits: our primary sub- mission, in both directions, is based on Moses, boosted with contextual informa- tion on phrases, and is contrasted with …...

In this paper, we describe the machine translation system in the evaluation cam- paign of the Fourth Workshop on Statisti- cal Machine Translation at EACL 2009. We describe the modular design of our multi-engine MT system with particular focus on the components used in this par- ticipation. We participated in …...

This paper describes the MulTra project, aiming at the development of an efficient multilingual translation technology based on an abstract and generic linguistic model as well as on object-oriented software de- sign. In particular, we will address the is- sue of the rapid growth both of the trans- fer modules …...

This study presents the TALP-UPC sub- mission to the EACL Fourth Worskhop on Statistical Machine Translation 2009 evaluation campaign. It outlines the ar- chitecture and configuration of the 2009 phrase-based statistical machine transla- tion (SMT) system, putting emphasis on the major novelty of this year: combina- tion of SMT systems …...

We describe the system developed by the team of the National University of Singa- pore for English to Spanish machine trans- lation of News Commentary text for the WMT09 Shared Translation Task. Our approach is based on domain adaptation, combining a small in-domain News Com- mentary bi-text and a large …...

In this paper we describe the statistical machine translation system of the Univer- sit¨at Karlsruhe developed for the transla- tion task of the Fourth Workshop on Sta- tistical Machine Translation. The state-of- the-art phrase-based SMT system is aug- mented with alternative word reordering and alignment mechanisms as well as op- …...

We present a word substitution approach to combine the output of different machine translation systems. Using part of speech information, candidate words are deter- mined among possible translation options, which in turn are estimated through a pre- computed word alignment. Automatic substitution is guided by several decision factors, including part …...

RWTH participated in the shared transla- tion task of the Fourth Workshop of Sta- tistical Machine Translation (WMT 2009) with the German-English, French-English and Spanish-English pair in each transla- tion direction. The submissions were gen- erated using a phrase-based and a hierar- chical statistical machine translation sys- tems with appropriate …...

This paper describes the incremental hy- pothesis alignment algorithm used in the BBN submissions to the WMT09 system combination task. The alignment algo- rithm used a sentence specific alignment order, flexible matching, and new shift heuristics. These refinements yield more compact confusion networks compared to using the pair-wise or incremental …...

We describe a synthetic method for com- bining machine translations produced by different systems given the same input. One-best outputs are explicitly aligned to remove duplicate words. Hypotheses follow system outputs in sentence order, switching between systems mid-sentence to produce a combined output. Experi- ments with the WMT 2009 tuning …...

We present a simple method for generating translations with the Moses toolkit (Koehn et al., 2007) from existing hypotheses pro- duced by other translation engines. As the structures underlying these translation engines are not known, an evaluation- based strategy is applied to select sys- tems for combination. The experiments show …...

This paper describes the CMU entry for the system combination shared task at WMT’09. Our combination method is hy- pothesis selection, which uses information from n-best lists from several MT systems. The sentence level features are indepen- dent from the MT systems involved. To compensate for various n-best list sizes …...

We present two regression models for the prediction of pairwise preference judgments among MT hy- potheses. Both models are based on feature sets that are motivated by textual entailment and incorporate lexical similarity as well as local syntactic features and specific semantic phenomena. One model pre- dicts absolute scores; the …...

This paper describes a simple evaluation metric for MT which attempts to overcome the well-known deficits of the standard BLEU metric from a slightly different an- gle. It employes Levenshtein’s edit dis- tance for establishing alignment between the MT output and the reference transla- tion in order to reflect the …...

We explored novel automatic evaluation measures for machine translation output oriented to the syntactic structure of the sentence: the BLEU score on the detailed Part-of-Speech (POS) tags as well as the precision, recall and F-measure obtained on POS n-grams. We also introduced F- measure based on both word and POS …...