[PDF] Top 20 Faster and Lighter Phrase based Machine Translation Baseline

... Neural Machine Translation System: Bridging the Gap between Human and Machine ...2002. Phrase-based statistical machine ... See full document

... the translation speed of the phrase-based translation ...the translation times. The translation speed of the monotone phrase-based system for all three tasks is ... See full document

... Outperforming a PBSMT system on small amounts of training data is less impressive than doing so on really large sets. The issue here is scalability as well as whether the PBSMT system is able to bridge the performance ... See full document

... typical phrase-based machine transla- tion (PBMT) system uses phrase pairs extracted from word-aligned parallel ...All phrase pairs that are consis- tent with word alignments are ... See full document

... raw machine-translation output, along with its human-post-edited counterpart, we can train the system to translate from the former into the lat- ...the phrase-based post-editing model that we ... See full document

... standard phrase-based machine translation ...models based on continuous word representations embed- ded in a vector ...the phrase table with new inferred phrase ... See full document

... The results in Table 4 show that the incremen- tal decoder was significantly faster than the beam search in re-decoding mode almost by a factor of 9 in the best case (for Fr-En). The speedup is pri- marily due to ... See full document

... unsupervised machine trans- lation track of WMT18 news translation shared ...several baseline trans- lation systems for both directions of the English-Estonian language pair using mono- lingual data ... See full document

... that combines these two previous neural ap- proaches, simplifying the architecture and loss function while still following the above men- tioned principles. The resulting model outper- forms previous approaches and is ... See full document

... our phrase table and lan- guage model supports a literal translation, cohesion tends to produce an ...first translation example shown in Table 5. In the base- line translation, the language ... See full document

... Our experiments were on Mandarin-to-English translation. We compared a baseline system, the state-of-the-art phrase-based system Pharaoh (Koehn et al., 2003; Koehn, 2004a), against our sys- ... See full document

... the phrase-based approach is that recursion is not handled ...syntax-based translation. Instead of phrase translations, translation rules in terms of syntactic constituents or ... See full document

... Abstract- Machine Translation (MT) is a technique that automatically translates text from one natural language to another using machine like ...computer. Machine Transliteration (MTn) is also ... See full document

... cially in the low- and medium-resource settings, but shows only slight gains in the 5M and 50M scenarios. Overall, mtu leads to better results than word. When we also add translations to phrases with multiple input ... See full document

... of machine translation require the rapid porting of existing systems to new languages and domains without being able to collect appropri- ate training data; this problem can therefore be expected to become ... See full document

... We present results on a subtitle parallel corpus built us- ing Dynamic Time Wrapping algorithm (Lavecchia et al., 2007a). Subtitle corpora are very attractive due to the used spontaneous language which contains formal ... See full document

... the translation process (Zamora-Martínez et ...be based on the work on distributed LMs, for instance (Brants et ...space translation models in an bilingual tuple system only used rescoring (Schwenk ... See full document

... In the context of hierarchical models, Aziz et al. (2013) work with unpruned forests using up- perbounds. Their approach is the closest to ours. They also employ a coarse-to-fine strategy with the OS ∗ framework ... See full document

... Figure 2 gives an example at interval [0.9, 1.0), which shows the difference among different sys- tem outputs. It can be seen that “you do” is re- dundant for Koehn-10, because they are inser- tions and thus are kept in ... See full document

... Prediction of morph boundary types has been used in conjunction with compound splitting. Stymne and Cancedda (2011) apply rule-based compound splitting in the pre-processing stage, and a conditional random field ... See full document