[PDF] Top 20 The UZH System Combination System for WMT 2011

... the WMT 2011 shared task, we built a system with the multi-engine MT ap- proach described in (Sennrich, 2011), which builds on the idea by (Chen et ...SMT system (Koehn et al., 2007) is ... See full document

... We also did the experiment of xx-English which made combinations of all English outputs available across different source languages. We used 35 sys- tems in this experiment for both primary and con- trastive ... See full document

... In an n-best reranking step, we compute depen- dency language model scores on the dependencies which were assembled on the hypotheses by the search procedure. We apply one language model for left-side dependencies and ... See full document

... our system 1 was built using all the French and English data supplied for the workshop’s shared translation task, apart from the Gigaword monolin- gual corpora released by the ... See full document

... We applied test10 as the held-out data to tune the German-English and English-German transla- tion systems. For experiments, we applied a small- scaled 4-gram language model trained only on the target side of the ... See full document

... feature combination in log-probability space suggested us that transforming the features into a set of orthog- onal features could make MERT optimization more robust and ... See full document

... rule extraction is based on tree manipulation and re- laxed extraction algorithms. Moses implements sev- eral algorithms that have been proposed in the lit- erature. Tree binarisation is one of them. This can be done in ... See full document

... the system combina- tion task of the sixth workshop on statistical machine translation (WMT ...linear combination of the component systems’ prob- ability distributions to search for the minimum risk ... See full document

... the WMT evaluation, we used the ICSI- Boost framework (Favre et ...of system with system of last slot, and SRILM uni- to trigram ...primary system; other approaches would have been to train an ... See full document

... other system combinations, but not against underlying systems, so we suspect that the bm-i2r submission still per- forms better than combinations on the Haitian Cre- ole ... See full document

... We used all the Chinese-English parallel corpora available for the constrained news translation task. They include the UN corpus, the NewsCommen- tary v12 corpus and the CWMT corpus. In to- tal, 25 million parallel ... See full document

... Of course, the main problem of using the BLEU score as a feature for sentence selection in a real- life scenario is that we do not have the references available. We overcame this issue by generating a custom set of ... See full document

... self-assertive system topology. Be that as it may, MANET has dynamic system topology since hubs can join and leave the system whenever because of the hub ... See full document

... Translation System The KIT translation system uses a phrase-based in-house decoder (Vogel, 2003) which finds the best combinations of features in a log-linear ... See full document

... Segundo, 2011), that computed a 3-gram language model considering the source language sentences from the test ...the system computes the similarity of each source sentence in the valida- tion corpus ... See full document

... the system is unable to translate ...PBMT system and combine these techniques before evaluating ...our system is configured to copy systematically the OOVs in the produced translated sentence, the ... See full document

... The confusion network is built by the output of MBR as the backbone which determines the word order of the combination. The other hypotheses are aligned against the backbone based on the TER metric. NULL words are ... See full document

... multiple system combination, we used an MBR-CN framework (Du et ...single system output as the skeleton, we employ an MBR de- coder to select the best single system output E r from the merged ... See full document

... Tokenization Two tokenizers were tested: one provided for the workshop and another we devel- oped. They differ mainly in the processing of com- pound words: our in-house tokenizer splits these words (e.g. percentage-wise ... See full document

... Table 2 summarizes the results using MERT in- stead of KBMIRA. We can observe that using KB- MIRA results in 0.1 to 0.2 BLEU point improve- ments compared to MERT. Moreover, this impact becomes more important when more ... See full document