[PDF] Top 20 The RWTH Aachen Machine Translation System for WMT 2012

... phrase-based translation systems for French→English and hierarchical phrase-based translation systems for ...the WMT shared translation ... See full document

... The RWTH Aachen University has participated in the WMT 2018 German → English and English → German unsupervised news translation tasks. We focus on reproducing related work and infer em- ... See full document

... in machine translation is mainly assigned to the four groups participating in this joint ...this WMT submission was to show the quality of a joint translation by combining the knowledge of the ... See full document

... a base setup to train multiple systems with slightly different settings for an ensemble. In the first set- ting we use all LSTM states of the first decoder layer as input for the second decoder layer. This actually hurts ... See full document

... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, et al. 2007. Moses: Open source toolkit for statistical ... See full document

... network-based translation model we use the transformer architecture (Vaswani et ...the WMT 2018 German↔English task namely the Europarl, CommonCrawl, NewsCommentary and Rapid ... See full document

... cal machine translation systems for the 2012 WMT shared task ...and translation model adap- tation using the cross-entropy score for the corpus ... See full document

... the system as compet- ing inflections are unlikely to appear in the same sentence (El Kholy and Habash, ...a system with higher-quality word alignments, but which can still use case information to drive its ... See full document

... Phrase orientation model. We implemented a feature in Moses that resembles the phrase ori- entation model for hierarchical machine transla- tion as described by Huck et al. (2013). The Huck et al. (2013) ... See full document

... the WMT 2012 quality estimation (QE) shared task. Given a machine translation (MT) system and a corpus of its translations which have been rated by humans, the task is to build a ... See full document

... the System Combi- nation task of the Fifth Workshop on Sta- tistical Machine Translation (WMT ...sensus translation, using additional n-best reranking techniques in two of these lan- ... See full document

... to System Combination (SC) for Machine Translation (MT) is a refined version of the ROVER approach in Automatic Speech Recognition (ASR) (Fiscus, 1997), with additional steps to cope with reordering ... See full document

... different translation engines that are better in terms of translation quality than any of the individual hy- ...to machine translation system combination has been described by Matusov ... See full document

... neural machine translation systems we translated part of the monolingual training data back to English in a similar way as described by (Bertoldi and Fed- erico, 2009) and (Sennrich et ...the system ... See full document

... based system with a standard feature set plus an ad- ditional triplet lexicon model (Mauser et ...Jane system with three syntax-based extensions: A parse match model (Vi- lar et ...contrastive ... See full document

... cal machine translation system of the RWTH Aachen University developed for the translation task of the Fifth Workshop on Statistical Machine ...a system combi- ... See full document

... In Galley and Manning (2008), a hierarchical re- ordering model for phrase-based machine trans- lation was introduced. The model scores mono- tone, swap, and discontinuous phrase orientations in the manner of the ... See full document

... ploy translation model interpolation and hierarchi- cal phrase ...train translation mod- els on different training data sets and augment the phrase-based system with a hierarchical re- ordering ... See full document

... a machine trans- lation ...in translation quality (Green et ...from machine translation and post- editing ...Lavie, 2012) may also provide benefit (Koehn, ... See full document

... In Huck et al. (2013b) a lexicalized reorder- ing model for hierarchical phrase-based machine translation was introduced. The model scores monotone, swap, and discontinuous phrase ori- entations in the ... See full document