[PDF] Top 20 The RWTH Aachen Machine Translation System for WMT 2011
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The RWTH Aachen Machine Translation System for WMT 2011
... phrase-based system, en- hanced with a triplet lexicon model and a discrim- inative word lexicon model (Mauser et ...Jane system with shallow rules (Iglesias et ... See full document
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The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task
... 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
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The LIGA (LIG/LIA) Machine Translation System for WMT 2011
... LIG system since we lacked time to apply SPE on the N-best hypotheses for the development and test corpora (the N-best being nec- essary for combination of LIG and LIA ... See full document
7
Joint WMT Submission of the QUAERO Project
... 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
7
The Universitat d’Alacant hybrid machine translation system for WMT 2011
... RBMT system, then apply the usual phrase-extraction algorithm over the resulting small parallel corpus, and finally add the obtained phrase pairs to the original phrase ...RBMT system directly to the phrase ... See full document
7
ILLC UvA translation system for EMNLP WMT 2011
... the WMT 2011 shared task, ILLC-UvA submit- ted two translations (primary and secondary) for the English-to-German translation ...statistical machine translation (SMT) and discover its ... See full document
7
The RWTH System Combination System for WMT 2011
... 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
7
The RWTH Aachen University English German and German English Unsupervised Neural Machine Translation Systems for WMT 2018
... We investigate whether noisy input sentences and auto-encoding are necessary at later stages of the training. Hence, these features are disabled af- ter the 3rd iteration. The improvements are not sta- tistical ... See full document
9
LIUM’s SMT Machine Translation Systems for WMT 2011
... statistical machine trans- lation systems developed by the Computer Science laboratory at the University of Le Mans (LIUM) for the 2011 WMT shared task ...the translation between French and ... See full document
6
The RWTH System Combination System for WMT 2010
... 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
6
DFKI Hybrid Machine Translation System for WMT 2011 On the Integration of SMT and RBMT
... the translation from English to German, the translation result of last year’s submission was eval- uated as ...phrase-based translation result is ...statistical translation system due ... See full document
5
CMU Syntax Based Machine Translation at WMT 2011
... Based on the results presented in Section 3, we feel confident in declaring vocabulary-based filter- ing of the Giga-FrEn corpus a success. By increas- ing the size of our parallel corpus by 26%, we more than tripled the ... See full document
7
Joint WMT 2012 Submission of the QUAERO Project
... statistical machine translation systems of Karlsruhe Institute of Technology, RWTH Aachen and LIMSI and the very structural approach of SYS- TRAN produce hypotheses with a huge variability ... See full document
8
The RWTH Aachen University English German and German English Machine Translation System for WMT 2017
... Joint Translation and Reordering (JTR) decoder is based on the implementation of the source cardinality synchronous search (SCSS) procedure described in (Zens and Ney, ...The system combines the flexibility ... See full document
8
The RWTH Aachen Machine Translation System for WMT 2010
... phrase translation model with the EM algorithm, sim- ilar to the one described in (DeNero et ...phrase translation probabil- ities are estimated from their relative frequen- cies in the phrase-aligned ... See full document
5
The RWTH Aachen German English Machine Translation System for WMT 2014
... In a second step, we filtered European lan- guages containing ascii characters. We used the WMT monolingual corpora in Czech, French, Spanish, English and German to filter these lan- guages from our bilingual ... See full document
6
The RWTH Aachen German English Machine Translation System for WMT 2015
... To create these different alignments, we used fast align (Dyer et al., 2013) and two imple- mentations of GIZA ++ (Och and Ney, 2003). The alignment was trained in both source to target di- rection and target to source ... See full document
6
The RWTH Aachen Machine Translation System for WMT 2012
... improve translation qual- ity considerably by first adopting more parallel (10 9 and UN) and monolingual (French LDC Gigaword v2) training resources and then employing several different models that are not ... See full document
8
The RWTH Aachen Machine Translation System for WMT 2013
... 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
7
The RWTH Aachen University Machine Translation Systems for WMT 2019
... neural machine translation systems developed at the RWTH Aachen University for the De→En, Zh→En and Kk→En news translation tasks of the Fourth Conference on Machine ... See full document
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