[PDF] Top 20 Statistical Machine Translation in Low Resource Settings

... Since the early 2000s, the AVENUE (Carbonell et al., 2002; Probst et al., 2002; Lavie et al., 2003) project has researched ways to rapidly develop MT systems for low-resource languages. In contrast to that ... See full document

... current machine translation. Statistical machine translation (SMT) systems achieve a high performance in many typologically diverse language pairs (Bojar et ...neural machine ... See full document

... ral machine translation (NMT) drops starkly in low-resource conditions, underperforming phrase-based statistical machine translation (PBSMT) and requiring large amounts of ... See full document

... a low resource ...six low re- source ...of low frequency words im- proves performance beyond what is achieved by inducing translations for OOVs ... See full document

... Submissions to the shared task were asked to only use the data provided data from the organizers. This included bitext from a number of different sources of varying utility to training translation systems. For the ... See full document

... Turkish machine translation tasks are shown in Table 5 and Table 6, ...Turkish→English machine translation task, we can see from Table 5 that our proposed multi-source NMT model outperforms ... See full document

... exist quite extensive implemented formal HPSG grammars for English (Copestake and Flickinger, 2000), German (M¨uller and Kasper, 2000), and Japanese (Siegel, 2000; Siegel and Bender, 2002). HPSG is the underlying theory ... See full document

... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondˇrej Bojar, Alexan- dra Constantin, and Evan ... See full document

... a low-cost solution, so we did not consider pure ...purely statistical and purely rule-based ap- proaches each have their intrinsic obstacles (other than par- allel corpora ... See full document

... As a solution to these challenges, researchers have incorporated syntax into NMT, particularly on the source side. Notably, Eriguchi et al. (2016) introduced a tree-to-sequence (tree2seq) NMT model in which the RNN ... See full document

... In statistical machine translation, Liu et al. (2012) proposed a local training method to learn sentence- wise weights for different test sentences. Due to the relatively lower number of weights in ... See full document

... improve low-resource neural machine translation (NMT), the synthetic bilingual cor- pora generated by NMT models trained on limited authentic bilingual data are inevitably ...English-German ... See full document

... that statistical risk prediction models are valuable in identifying women at risk of preeclampsia to guide management, but that specialized models have significantly better performance than simple ones ...of ... See full document

... phrase-level translation pairs of maxi- mum length seven using the alignment template approach (Och and Ney, ...lexical translation probabilities, and phrase ... See full document

... based on the same Ro-En corpus with 6k sentences. As shown in Table 3, it is obvious that 6k sen- tences of parallel corpora completely fails to train a vanilla NMT model. Using Multi-NMT with the as- sistance of 7.8M ... See full document

... The bottom part of Table 4 shows a particu- larly interesting trick: the parent is not any high- resource pair but the very same EN-ET corpus with source and target swapped. We see gains in both directions, ... See full document

... on low-resource languages by a large margin and al- lows our transfer NMT system to come close to the performance of a very strong SBMT system, even exceeding its performance on ...on ... See full document

... good translation for each other and update our Persian–Spanish phrase-table with the selected ...pivot-based translation systems through English as the intermediary ... See full document

... Neural machine translation has achieved im- pressive results in the last few years, but its success has been limited to settings with large amounts of parallel ...lower-resource ... See full document

... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan ... See full document