[PDF] Top 20 System Combination for Machine Translation through Paraphrasing

... the paraphrasing model uses hierarchical paraphrases to carry out the fusion, it is able to make a bigger degree of word-reordering or structural change on the input hypothesis in comparison with lattice ... See full document

... by system combination, which attempts to find consensus translations a- mong different machine translation ...sentence-level system combination methods were well studied ... See full document

... state-of-the-art system combination method for machine translation (MT) is based on confusion networks constructed by aligning hypotheses with regard to word ...novel system ... See full document

... diversified translation systems from a single Statistical Machine Translation (SMT) engine for system ...weak translation systems is gener- ated from a baseline system in an ... See full document

... Statistical Machine Translation, which require external data in the form of additional parallel bilingual corpora (Callison-Burch et ...that paraphrasing is not simply considered as a way of finding ... See full document

... by paraphrasing the target side of the training ...lexical paraphrasing in the training data, we hope to reduce the OOV rate in the translation output while retaining the ... See full document

... 4 Machine Translation Experiments To evaluate the effect of compound paraphrasing, a phrase-based statistical machine translation sys- tem was trained on a subset of roughly 55,000 ... See full document

... System combination has emerged as a powerful method for machine translation ...confusion-network-based system combination methods using equivalent features and shown to ... See full document

... by paraphrasing for automatic evaluation of machine translation ...by paraphrasing in addi- tion to a single human reference (gold refer- ... See full document

... a translation that is better than any single system output? We propose a hier- archical system combination framework for machine ...ter translation quality with much less re- ... See full document

... bining machine translations produced by different systems given the same ...follow system outputs in sentence order, switching between systems mid-sentence to produce a combined ...English system. ... See full document

... tuning machine translation models specifically for improved perfor- mance during system ...tem combination gains are often limited by the fact that the translations produced by the different ... See full document

... neural machine translation, a new approach to machine transla- tion based purely on neural networks (Kalchbren- ner and Blunsom, 2013; Bahdanau et ...correct translation given a source sen- ... See full document

... Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypoth- esis alignment, decoding may result in un- grammatical ... See full document

... the translation in other types of oovs and distant language ...quality translation, and we can see evidence of this in automatic measures such as BLEU (Papineni et ... 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, Alexan- dra Constantin, and Evan ... See full document

... the system combination methods based on confusion networks developed rapidly (Bangalore et ...consensus translation can be obtained by selecting one word from each set to maximizing the overall ... See full document

... Arabic is a VSO (SVO in some cases) pro- drop language with rich templatic morphology, where words are made up of roots and affixes and clitics agglutinate to words. For prepro- cessing, a similar approach to that shown ... See full document

... erico, M., Bertoldi, N., Cowan, B., Shen, W., Moran, C., Zens, R., Dyer, C., Bojar, O., Constantin, A., and Herbst, E. (2007). Moses: Open source toolkit for statistical machine translation. In Proceedings ... See full document

... and Yarowsky (2006)’s, in that we use morpholog- ical analysis for DA to help DA-English MT; but unlike them and similar to Sawaf (2010), we use a rule-based approach to model DA morphology. Our morphological analysis ... See full document