[PDF] Top 20 The RWTH Aachen Machine Translation System for WMT 2013

... chine translation (SMT) systems devel- oped at RWTH Aachen University for the translation task of the ACL 2013 Eighth Workshop on Statistical Machine 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

... To check the quality of a filtering approach, we train a transformer model on the top 10M respec- tively top 100M subwords of the scored training data. We mainly focus on the 10M-subsampling results, as this scenario ... 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

... 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

... 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

... 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

... 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

... estimated system performance scores and the WMT official scores, other evaluation pro- cedures might also be ...baseline translation, whereas they do ... See full document

... incomplete translation lexicons. Syn- thetic translation option generation seeks to fill these gaps using secondary generation processes that produce possible phrase translation alterna- tives that ... 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. ... See full document

... the WMT 2014 shared transla- tion task (Common Crawl, News Commen- tary, Wiki Headlines and Yandex corpora) in addition to the shared task English monolin- gual training data (Europarl, News Commen- tary and News ... See full document

... We trained phrase-based and hierarchical transla- tion systems for both translation directions of the German-English language pair. Corpus statistics for German-English can be found in Table 4. The lan- guage ... See full document

... Our phrase based decoder includes an implemen- tation of the source cardinality synchronous search procedure described in Zens and Ney (2008). We used the standard set of models with phrase trans- lation probabilities, ... 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

... effort, RWTH decided to select a high-quality part of altogether about 2 ...the translation systems are extracted from the Europarl and news- commentary parallel training data as well as the se- lected ... See full document

... a system using the same architecture as the ‘base’ Trans- former (see Vaswani et ...winning system and try different vocabulary and nbest sizes for the segmentation based on a un- igram language ... See full document

... phrase translation probabilities and lexical smoothing in both directions, word and phrase penalty, distance- based distortion model, an n-gram target language model and three binary count ... See full document