[PDF] Top 20 Improving Statistical Machine Translation Efficiency by Triangulation

... one translation of each sentence, cho- sen essentially at random from an often large set of equally good ...the efficiency of the resulting system in certain ...single statistical MT ... See full document

... Neural Machine Translation (NMT) model generates trans- lations from left to right as a linear sequence, during which latent syntactic structures of the target sentences are not explicitly ...for ... See full document

... entropy translation model has an explicit indicator of distortion, j, built into the features, we discuss in this section some novel features that try to capture the distortion phenomena of ... See full document

... for translation of PVs, we limit the construction of phrases in the training data for word2vec only to those English and Bul- garian phrases which: i) are aligned in the phrase table and ii) the English phrase ... See full document

... In this paper, we present first results with a new architecture that integrates a state-of-the-art WSD model into phrase-based SMT so as to per- form multi-word phrasal lexical disambiguation, and show that this new WSD ... See full document

... The former approach is a straightforward way that models reordering in noisy channel transla- tion, and has been studied from the early period of SMT research. Distance-based reordering is a typical approach used in many ... See full document

... the translation model is treated as the monotonic backbone of the search space, while the language model score is a non-monotonic cost that distorts the search space (see (Huang and Chiang, 2005) for defini- tion ... See full document

... a translation model P r(e|f ) and a target language model P r(e), which can be complemented by reordering models (if the language pairs presents very long alignments in training), word penalty to avoid favoring ... See full document

... performs translation through a third language, provides a possible solution to the ...The triangulation method (Wu and Wang, 2007; Cohn and Lapata, 2007) is a representative work for pivot-based ma- chine ... See full document

... We presented a comparison of two approaches for Arabic-Chinese MT using English as a piv- ot language against direct MT. Our results show that using English as a pivot in either ap- proach outperforms direct ... See full document

... Improving Statistical Machine Translation Using Word Sense Disambiguation Marine Carpuat and Dekai Wu.. Large Margin Synchronous Generation and its Application to Sentence Compression Tr[r] ... See full document

... where X denotes any phrase. Because “X 了” wrongly written as “了 X” is a typical Disorder error in Chinese sentences, the hierarchical phrase-based system extracts the rule X→(X 了, 了 X) and weighs it highly when training ... See full document

... pass translation is usually needed to generate n-best translation candidates in language model ...adaptation. Translation model ad- aptation doesn’t need a pre-translation ...and ... See full document

... based translation system performs better on word alignment than the translation dictionary?” For single word alignment, the rule-based translation system can perform word sense disambiguation, and ... See full document

... Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, Franz-Josef Och, David Purdy, Noah A. Smith, and David Ya- rowsky. 1999. Statistical Machine Translation. Fi- nal ... See full document

... to translation can- didates (Rapp, 1995; Koehn and Knight, 2002; Haghighi et ...assign translation can- didates to OOVs (Marton et ...propagate translation candidates across a graph with phrasal ... See full document

... the translation and language models can further improve the translation ...a translation model trained on a concatenation of S → T and T → S parallel corpora and a language model compiled from a ... See full document

... in statistical machine trans- ...Chinese-to-English translation tasks with large-scale training data demonstrate that statistical machine translation using verbal selectional ... See full document

... Czech translation of the head of the English antecedent should be the same in the output of ...single-step translation systems such as that used by Hardmeier & Federico ... See full document

... State-of-the-art statistical machine transla- tion systems rely heavily on training data and insufficient training data usually re- sults in poor translation ...lation. Triangulation uses a ... See full document