[PDF] Top 20 Pivot Language Approach for Phrase Based Statistical Machine Translation

... for translation between language pairs with scarce ...used translation dic- tionaries and shallow analysis tools for translation between the language pair with low ... See full document

... the phrase-based sys- tem, we use the following feature functions: a trigram language model, the phrase translation model and the word-based lexicon ...and phrase penalty ... See full document

... In fact, our aim is somewhat like domain adaptation. The task of domain adaptation is to develop learning algorithms that can be easily ported from one domain to another (Daumé III, 2007). What we want to do is selecting ... See full document

... the ITG reorderings, we see that the ITG system always outperforms the unconstrained system. The improvement on the whole test set is statistically significant at the 95% level. 1 In Table 5 and Table 6, we show the re- ... See full document

... Panlingua-KMI Machine Translation (MT) systems for Hindi ↔ Nepali language pair, designed as part of the Similar Language Translation Task at the WMT 2019 Shared ...the ... See full document

... English language when translating to Vietnamese ...noun phrase, adjectival and adverbial phrase, preposition and created manually written reordering rule set for English-Vietnamese language ... See full document

... standard phrase- based machine translation decoder that operates according to the same principles as the publicly available PHARAOH (Koehn, 2004) and MOSES (Koehn et ...5-gram language ... See full document

... the language model a penalty imposed when formal compostion operators are ...n-gram language model with a penalty factor that measures the number of encountered combinatory operator violations in a sequence ... See full document

... SVM based Manipuri named entity recognition technique (Singh et ...constrained language, (b) unlike English, Manipuri lacks capitalization, (c) NEs can appear in the Manipuri dictionary as well and (d) ... See full document

... Beam search (Koehn et al., 2003) and cube prun- ing (Chiang, 2007) are examples of state-of-the-art approximate search algorithms. They approximate the intersection between the translation forest and the ... See full document

... second language’ are in the in-domain ...second language’ may be outside in-domain PT/LM, but they may possibly be in out-of-domain ...the translation probabilities of connecting phrases from ... See full document

... the-art phrase-based SMT system (Wuebker et ...the phrase based decoder, Jane ...with phrase transla- tion probabilities for source-to-target and target-to- source directions, smoothing ... See full document

... in-house phrase based SMT system which operates similarly to Moses (Koehn and Haddow, ...5-gram language models with interpolated modified Kneser-Ney discounting (Stolcke, 2002; Chen and Goodman, ... See full document

... investigate unbiased sampling in addition to op- timisation. However, they start from a coarser upperbound with unigram probabilities, and their refinement strategies are based on exhaustive in- tersections with ... See full document

... German-Czech language pair are built based on the previously proposed unsupervised MT sys- tems, with some adaptations made to accom- modate the morphologically rich characteristics of German and Czech ... See full document

... The parser only operates on the French-side gram- mar; the English-side grammar a ff ects parsing only by increasing the e ff ective grammar size, because there may be multiple rules with the same French side but di ff ... See full document

... allow translation events to span sub- tree units, providing several advantages, including the ability to selectively produce uncohesive transla- tions (Eisner, 2003; Graehl and Knight, 2004; Quirk et ...cohesive ... See full document

... real-time translation of in- ternet chat, translation speed is an important con- ...ing approach to be a principled pruning strategy that combines the different factors in an elegant ... See full document

... the pivot mod- el and its affiliated interpolated model are suita- ble for language pairs with small bilingual ...and pivot-target corpora is close to the scale of source-target bi- lingual corpora, ... See full document

... Early approach to statistical machine translation relies on the word-based trans- lation model to describe the translation process ...word-to-word translation often fails ... See full document